| Hamadneh J and Esztergár-Kiss D (2022), "Travel Behavior of Car Travelers with the Presence of Park-and-Ride Facilities and Autonomous Vehicles", PERIODICA POLYTECHNICA TRANSPORTATION ENGINEERING. Vol. 50, pp. 101-110.
[BibTeX] [DOI] [URL]
|
BibTeX:
@article{MTMT:32465846,
author = {Hamadneh, Jamil and Esztergár-Kiss, Domokos},
title = {Travel Behavior of Car Travelers with the Presence of Park-and-Ride Facilities and Autonomous Vehicles},
journal = {PERIODICA POLYTECHNICA TRANSPORTATION ENGINEERING},
year = {2022},
volume = {50},
pages = {101-110},
url = {https://m2.mtmt.hu/api/publication/32465846},
doi = {10.3311/PPtr.18020}
}
|
| Hamadneh J and Esztergár-Kiss D (2022), "The preference of onboard activities in a new age of automated driving", EUROPEAN TRANSPORT RESEARCH REVIEW. Vol. 14
[BibTeX] [DOI] [URL]
|
BibTeX:
@article{MTMT:32785179,
author = {Hamadneh, Jamil and Esztergár-Kiss, Domokos},
title = {The preference of onboard activities in a new age of automated driving},
journal = {EUROPEAN TRANSPORT RESEARCH REVIEW},
year = {2022},
volume = {14},
url = {https://m2.mtmt.hu/api/publication/32785179},
doi = {10.1186/s12544-022-00540-7}
}
|
| Hamadneh J and Esztergár-Kiss D (2022), "The Influence of Spent Time at Park-and-Ride Facility on the Travel Behavior of Workers and Shoppers", TRANSPORTATION RESEARCH PROCEDIA. Vol. 62, pp. 735-742.
[BibTeX] [DOI] [URL]
|
BibTeX:
@article{MTMT:32743611,
author = {Hamadneh, Jamil and Esztergár-Kiss, Domokos},
title = {The Influence of Spent Time at Park-and-Ride Facility on the Travel Behavior of Workers and Shoppers},
journal = {TRANSPORTATION RESEARCH PROCEDIA},
year = {2022},
volume = {62},
pages = {735-742},
url = {https://m2.mtmt.hu/api/publication/32743611},
doi = {10.1016/j.trpro.2022.02.091}
}
|
| Dingil AE and Esztergár-Kiss D (2022), "The Influence of Education Level on Urban Travel Decision-making", PERIODICA POLYTECHNICA TRANSPORTATION ENGINEERING. Vol. 50, pp. 49-57.
[BibTeX] [DOI] [URL]
|
BibTeX:
@article{MTMT:32465847,
author = {Dingil, Ali Enes and Esztergár-Kiss, Domokos},
title = {The Influence of Education Level on Urban Travel Decision-making},
journal = {PERIODICA POLYTECHNICA TRANSPORTATION ENGINEERING},
year = {2022},
volume = {50},
pages = {49-57},
url = {https://m2.mtmt.hu/api/publication/32465847},
doi = {10.3311/PPtr.16871}
}
|
| Horváth Á and Tettamanti T (2022), "Test Automation – From Virtual Scenario Creation to Real-world Testing", In Proceedings of The First Conference on ZalaZONE Related R&I Activities of Budapest University of Technology and Economics 2022. , pp. 48-52.
[BibTeX] [DOI]
|
BibTeX:
@inproceedings{MTMT:32809282,
author = {Horváth, Áron and Tettamanti, Tamás},
title = {Test Automation – From Virtual Scenario Creation to Real-world Testing},
booktitle = {Proceedings of The First Conference on ZalaZONE Related R&I Activities of Budapest University of Technology and Economics 2022},
year = {2022},
pages = {48-52},
doi = {10.3311/BMEZalaZONE2022-010}
}
|
| Hamadneh J, Duleba S and Esztergár-Kiss D (2022), "Stakeholder viewpoints analysis of the autonomous vehicle industry by using multi-actors multi-criteria analysis", TRANSPORT POLICY. Vol. 126, pp. 65-84.
[Abstract] [BibTeX] [DOI] [URL]
|
| Abstract: The availability of autonomous vehicles (AVs) on the market will create a novel situation for every stakeholder. A lot of research has been conducted on developing the AVs and the consequences of having AVs on the market, but comprehensive studies concerning various viewpoints on the introduction of AVs into the market can be scarcely found. This research is examining different actors' viewpoints on the acceptance of privately shared autonomous vehicles (PSAVs). Four groups of stakeholders are identified as the following: users, legislators, operators, and manufacturers. The multi-actor multi-criteria analysis (MAMCA) is used, where the analytical hierarchy process (AHP) and the parsimonious AHP (PAHP)methods are applied to evaluate each actor's objectives and criteria. From each group, a representative sample is collected, the actors evaluate a set of pairwise comparison matrices (PCMs), and their consistency is continuously checked. As a result, the objectives and the criteria are ranked and presented. The main finding of the objectives' analysis presents that the safety concerns receive the highest ranking (i.e., weight is 0.085), while the ease of use and the interoperability across the borders have the lowest rankings ((i.e., weight is 0.048, and 0.0515, respectively). The main finding of criteria's analysis shows that ease of use has the lowest ranking (i.e., weight is 0.0024), and the highest rank is related to the reduction in vehicle accidents caused by the malfunction (i.e., weight is 0.0495). Thus, it seems that safety related issues are the most important factor in accepting PSAV. The result of this study is useful for decision-makers and transport planners to form policies, regulations, and guidelines regarding the future implementations of PSAVs before their arrival to the market. |
BibTeX:
@article{MTMT:32928861,
author = {Hamadneh, Jamil and Duleba, Szabolcs and Esztergár-Kiss, Domokos},
title = {Stakeholder viewpoints analysis of the autonomous vehicle industry by using multi-actors multi-criteria analysis},
journal = {TRANSPORT POLICY},
year = {2022},
volume = {126},
pages = {65-84},
url = {https://m2.mtmt.hu/api/publication/32928861},
doi = {10.1016/j.tranpol.2022.07.005}
}
|
| Mahdi A and Esztergár-Kiss D (2022), "Robust Linear Regression-Based GIS Technique for Modeling the Processing Time at Tourism Destinations", LECTURE NOTES IN COMPUTER SCIENCE. Vol. 13335, pp. 557-569.
[BibTeX] [DOI] [URL]
|
BibTeX:
@article{MTMT:32889607,
author = {Mahdi, Ali and Esztergár-Kiss, Domokos},
title = {Robust Linear Regression-Based GIS Technique for Modeling the Processing Time at Tourism Destinations},
journal = {LECTURE NOTES IN COMPUTER SCIENCE},
year = {2022},
volume = {13335},
pages = {557-569},
url = {https://m2.mtmt.hu/api/publication/32889607},
doi = {10.1007/978-3-031-04987-3_38}
}
|
| Mahdi A and Esztergár-Kiss D (2022), "Robust Linear Regression-Based GIS Technique for Modeling the Processing Time at Tourism Destinations", In HCI in Mobility, Transport, and Automotive Systems. , pp. 557-569.
[Abstract] [BibTeX] [DOI] [URL]
|
| Abstract: Tourist attractions are dispersed across wide geographic areas even within the cities making the data collection prohibitively expensive. For these reasons, information on tourism destinations should be collected automatically. Recently, the collection of particular data on destinations has become easier with the growing popularity of location-based applications. Based on Google Popular Time (GPT), behavioral data are collected to investigate the actual tourist behavior. The statistical analysis clearly shows the presence of outliers in the collected data. Consequently, a regression model based robust approach is used to study the tourists' processing time (i.e., the time spent) at various tourism destinations in Budapest. Such spatial parameters are adopted as car parking, public transport station, and location. The statistical outcomes present that the availability of car parking or public transport stations significantly affects the tourists' processing time at the tourism destinations. The findings demonstrate the benefit of usingGPT and other online resources to analyze and predict individual behavior. Furthermore, current study reveals that location-based services provide a principal option for tourists during their journeys. |
BibTeX:
@inproceedings{MTMT:33422653,
author = {Mahdi, Ali and Esztergár-Kiss, Domokos},
title = {Robust Linear Regression-Based GIS Technique for Modeling the Processing Time at Tourism Destinations},
booktitle = {HCI in Mobility, Transport, and Automotive Systems},
year = {2022},
pages = {557-569},
url = {https://m2.mtmt.hu/api/publication/33422653},
doi = {10.1007/978-3-031-04987-3_38}
}
|
| Németh B, Fényes D, Bede Z and Gáspár P (2022), "Optimal Control Design for Traffic Flow Maximization Based on Data-Driven Modeling Method", Energies. Vol. 15(1)
[Abstract] [BibTeX] [DOI] [URL]
|
| Abstract: This paper proposes enhanced prediction and control design methods for improving traffic flow with human-driven and automated vehicles. To achieve accurate prediction for the entire time horizon, data-driven and model-based prediction methods were integrated. The goal of the integration was to accurately predict the outflow of the traffic network, which was selected as the highway section in this paper. The proposed novel prediction method was used in the optimal design for calculating controlled inflows on highway ramps. The goal of the design was to reach the maximum outflow of the traffic network, even against disturbances on uncontrolled inflows of the network. The control design leads to an optimization problem based on the min–max principle, i.e., the traffic outflow is considered to be maximized by controlled inflows and to be minimized by uncontrolled inflows. The effectiveness of the prediction and the control methods through simulation examples are illustrated, i.e., traffic outflow can be maximized by the control system under various uncontrolled inflow values. |
BibTeX:
@article{en15010187,
author = {Németh, Balázs and Fényes, Dániel and Bede, Zsuzsanna and Gáspár, Péter},
title = {Optimal Control Design for Traffic Flow Maximization Based on Data-Driven Modeling Method},
journal = {Energies},
year = {2022},
volume = {15},
number = {1},
url = {https://www.mdpi.com/1996-1073/15/1/187},
doi = {10.3390/en15010187}
}
|
| Lovas T, Ormándi T, Somogyi ÁJ, Baranyai D, Tihanyi V and Tettamanti T (2022), "OpenCRG Models From Different Data Sources to Support Vehicle Simulations", IEEE Access. Vol. 10, pp. 42690-42698.
[BibTeX] [DOI]
|
BibTeX:
@article{9759303,
author = {Lovas, Tamás and Ormándi, Tamás and Somogyi, Árpád József and Baranyai, Dániel and Tihanyi, Viktor and Tettamanti, Tamás},
title = {OpenCRG Models From Different Data Sources to Support Vehicle Simulations},
journal = {IEEE Access},
year = {2022},
volume = {10},
pages = {42690-42698},
doi = {10.1109/ACCESS.2022.3168287}
}
|
| Mahdi A, Hamadneh J and Esztergár-Kiss D (2022), "Modeling of Travel Behavior in Budapest: Leisure Travelers", TRANSPORTATION RESEARCH PROCEDIA. Vol. 62, pp. 310-317.
[BibTeX] [DOI] [URL]
|
BibTeX:
@article{MTMT:32809985,
author = {Mahdi, Ali and Hamadneh, Jamil and Esztergár-Kiss, Domokos},
title = {Modeling of Travel Behavior in Budapest: Leisure Travelers},
journal = {TRANSPORTATION RESEARCH PROCEDIA},
year = {2022},
volume = {62},
pages = {310-317},
url = {https://m2.mtmt.hu/api/publication/32809985},
doi = {10.1016/j.trpro.2022.02.039}
}
|
| Hamadneh J and Esztergár-Kiss D (2022), "Modeling Multitasking Onboard of Privately-Used Autonomous Vehicle and Public Transport", In Intelligent Solutions for Cities and Mobility of the Future. , pp. 85-100.
[BibTeX] [DOI] [URL]
|
BibTeX:
@inproceedings{MTMT:32517467,
author = {Hamadneh, Jamil and Esztergár-Kiss, Domokos},
title = {Modeling Multitasking Onboard of Privately-Used Autonomous Vehicle and Public Transport},
booktitle = {Intelligent Solutions for Cities and Mobility of the Future},
year = {2022},
pages = {85-100},
url = {https://m2.mtmt.hu/api/publication/32517467},
doi = {10.1007/978-3-030-91156-0_7}
}
|
| Szoke L, Aradi S and Tettamanti T (2022), "Investigating Successor Features in the Domain of Autonomous Vehicle Control", Transportation Research Procedia. Vol. 62, pp. 181-188.
[Abstract] [BibTeX] [DOI] [URL]
|
| Abstract: In this article, the basic Reinforcement Learning (RL) concepts are discussed, continued with a brief explanation of Markov Decision Processes (MDPs). Reasoning for the application of RL in the autonomous vehicle control domain is accompanied with a developed basic environment for simulation-based training of agents. Furthermore, we look at the available literature of successor features, and the recent achievements of its utilization. Our motivation is to tackle the problem of credit assignment with reward decomposition by using successor features, because the complex tasks while driving can cause unsuccessful training and can be challenging. After explaining the applied methodology and showing how it works, state-of-the-art ideas are investigated and infused into the vehicle control realm. Moreover, the paper details how these features can be tailored to the highway driving scenarios and what is the secret behind its capability to boost the performance of the RL agent. In order to investigate the proposed problems in a credible way we applied a high-fidelity traffic simulator (SUMO) as our environment, and concluded different trainings based on various scenarios. We present successor features applied to an autonomous vehicle control setting, such as highway commute. Our results imply that learned skills can help with the multi-objective rewarding problem, and agents applied to changing reward systems can adapt quickly to the new tasks. The only thing to find is the correct decomposition and selection of successor features. |
BibTeX:
@article{SZOKE2022181,
author = {Laszlo Szoke and Szilard Aradi and Tamas Tettamanti},
title = {Investigating Successor Features in the Domain of Autonomous Vehicle Control},
journal = {Transportation Research Procedia},
year = {2022},
volume = {62},
pages = {181-188},
note = {24th Euro Working Group on Transportation Meeting},
url = {https://www.sciencedirect.com/science/article/pii/S2352146522001508},
doi = {10.1016/j.trpro.2022.02.023}
}
|
| Esztergár-Kiss D, Ansariyar A and Katona G (2022), "Interconnecting Separate Transportation Systems by Introducing Exchange Points", In 2022 IEEE International Smart Cities Conference (ISC2). , pp. 1-6.
[Abstract] [BibTeX] [DOI] [URL]
|
| Abstract: To provide seamless information for the travelers, an effective transnational door-to-door journey planner is required, where information from different operators, combined solutions, and value-added parameters appear in a realistic environment. Thus, the aim is to support seamless mobility solutions and create multimodal transport networks connecting separate systems. The elaborated method realizes this by identifying the potential exchange points between separate networks and by filtering the suitable exchange points to run the routing algorithm between the local journey planners. The proposed solution builds on a flexible algorithm, which parameters can be easily updated and extended. In case of any changes, using the formulated theoretical background, an up-todate and realistic implementation can be derived from the foundations of the framework. In addition, the elaborated method is fully capable to cover wide geographical areas and to provide a transferable solution. |
BibTeX:
@inproceedings{MTMT:33200870,
author = {Esztergár-Kiss, Domokos and Ansariyar, A and Katona, Géza},
title = {Interconnecting Separate Transportation Systems by Introducing Exchange Points},
booktitle = {2022 IEEE International Smart Cities Conference (ISC2)},
year = {2022},
pages = {1-6},
url = {https://m2.mtmt.hu/api/publication/33200870},
doi = {10.1109/ISC255366.2022.9922308}
}
|
| Németh B, Gáspár P and Bede Z (2022), "Impact of Automated Vehicles Using Eco-Cruise Control on the Traffic Flow", Periodica Polytechnica Transportation Engineering. Vol. 50(1), pp. 1–10.
[BibTeX] [DOI] [URL]
|
BibTeX:
@article{Bede_2022,
author = {Németh, Balázs and Gáspár, Péter and Bede, Zsuzsanna},
title = {Impact of Automated Vehicles Using Eco-Cruise Control on the Traffic Flow},
journal = {Periodica Polytechnica Transportation Engineering},
year = {2022},
volume = {50},
number = {1},
pages = {1–10},
url = {https://pp.bme.hu/tr/article/view/18410},
doi = {10.3311/PPtr.18410}
}
|
| Rizopoulos D and Esztergár-Kiss D (2022), "Heuristic time-dependent personal scheduling problem with electric vehicles", TRANSPORTATION.
[Abstract] [BibTeX] [DOI] [URL]
|
| Abstract: In this paper, a heuristic method which contributes to the solution of the Daily Activity Chains Optimization problem with the use of Electric Vehicles (DACO-EV) is presented. The DACO-EV is a time-dependent activity-scheduling problem of individual travelers in urban environments. The heuristic method is comprised of a genetic algorithm that considers as its parameters a set of preferences of the travelers regarding their initial activity chains as well as parameters concerning the transportation network and the urban environment. The objective of the algorithm is to calculate the traveler’s optimized activity chains within a single day as they emerge from the improved combinations of the available options for each individual traveler based on their flexibility preferences. Special emphasis is laid on the underlying speed-up techniques of the GA and the mechanisms that account for specific characteristics of EVs, such as consumption according to the EV model and international standards, charging station locations, and the types of charging plugs. From the results of this study, it is proven that the method is suitable for efficiently aiding travelers in the meaningful planning of their daily activity schedules and that the algorithm can serve as a tool for the analysis and derivation of the insights into the transportation network itself. |
BibTeX:
@article{MTMT:32892742,
author = {Rizopoulos, Dimitrios and Esztergár-Kiss, Domokos},
title = {Heuristic time-dependent personal scheduling problem with electric vehicles},
journal = {TRANSPORTATION},
year = {2022},
url = {https://m2.mtmt.hu/api/publication/32892742},
doi = {10.1007/s11116-022-10300-0}
}
|
| Varga B (2022), "Gaussian Process-based Spatio-Temporal Predictor", Acta Polytechnica Hungarica. Vol. 19(5), pp. 69-84. Obuda University.
[BibTeX] [DOI] [URL]
|
BibTeX:
@article{Varga2022,
author = {Balázs Varga},
title = {Gaussian Process-based Spatio-Temporal Predictor},
journal = {Acta Polytechnica Hungarica},
publisher = {Obuda University},
year = {2022},
volume = {19},
number = {5},
pages = {69--84},
url = {https://doi.org/10.12700/aph.19.5.2022.5.4},
doi = {10.12700/aph.19.5.2022.5.4}
}
|
| Widner A, Tihanyi V and Tettamanti T (2022), "Framework for Vehicle Dynamics Model Validation", IEEE Access. Vol. 10, pp. 35422-35436.
[BibTeX] [DOI]
|
BibTeX:
@article{9730866,
author = {Widner, Attila and Tihanyi, Viktor and Tettamanti, Tamás},
title = {Framework for Vehicle Dynamics Model Validation},
journal = {IEEE Access},
year = {2022},
volume = {10},
pages = {35422-35436},
doi = {10.1109/ACCESS.2022.3157904}
}
|
| Hamadneh J and Esztergár-Kiss D (2022), "EVALUATION OF THE IMPACTS OF AUTONOMOUS VEHICLES ON THE MOBILITY OF USER GROUPS BY USING AGENT-BASED SIMULATION", TRANSPORT (VILNIUS). Vol. 37, pp. 1-16.
[BibTeX] [DOI] [URL]
|
BibTeX:
@article{MTMT:32741227,
author = {Hamadneh, Jamil and Esztergár-Kiss, Domokos},
title = {EVALUATION OF THE IMPACTS OF AUTONOMOUS VEHICLES ON THE MOBILITY OF USER GROUPS BY USING AGENT-BASED SIMULATION},
journal = {TRANSPORT (VILNIUS)},
year = {2022},
volume = {37},
pages = {1-16},
url = {https://m2.mtmt.hu/api/publication/32741227},
doi = {10.3846/transport.2022.16322}
}
|
| Fang X, Li H, Tettamanti T, Eichberger A and Fellendorf M (2022), "Effects of Automated Vehicle Models at the Mixed Traffic Situation on a Motorway Scenario", Energies. Vol. 15(6)
[Abstract] [BibTeX] [DOI] [URL]
|
| Abstract: There is consensus in industry and academia that Highly Automated Vehicles (HAV) and Connected Automated Vehicles (CAV) will be launched into the market in the near future due to emerging autonomous driving technology. In this paper, a mixed traffic simulation framework that integrates vehicle models with different automated driving systems in the microscopic traffic simulation was proposed. Currently, some of the more mature Automated Driving Systems (ADS) functions (e.g., Adaptive Cruise Control (ACC), Lane Keeping Assistant (LKA), etc.) are already equipped in vehicles, the very next step towards a higher automated driving is represented by Level 3 vehicles and CAV which show great promise in helping to avoid crashes, ease traffic congestion, and improve the environment. Therefore, to better predict and simulate the driving behavior of automated vehicles on the motorway scenario, a virtual test framework is proposed which includes the Highway Chauffeur (HWC) and Vehicle-to-Vehicle (V2V) communication function. These functions are implemented as an external driver model in PTV Vissim. The framework uses a detailed digital twin based on the M86 road network located in southwestern Hungary, which was constructed for autonomous driving tests. With this framework, the effect of the proposed vehicle models is evaluated with the microscopic traffic simulator PTV Vissim. A case study of the different penetration rates of HAV and CAV was performed on the M86 motorway. Preliminary results presented in this paper demonstrated that introducing HAV and CAV to the current network individually will cause negative effects on traffic performance. However, a certain ratio of mixed traffic, 60% CAV and 40% Human Driver Vehicles (HDV), could reduce this negative impact. The simulation results also show that high penetration CAV has fine driving stability and less travel delay. |
BibTeX:
@article{en15062008,
author = {Fang, Xuan and Li, Hexuan and Tettamanti, Tamás and Eichberger, Arno and Fellendorf, Martin},
title = {Effects of Automated Vehicle Models at the Mixed Traffic Situation on a Motorway Scenario},
journal = {Energies},
year = {2022},
volume = {15},
number = {6},
url = {https://www.mdpi.com/1996-1073/15/6/2008},
doi = {10.3390/en15062008}
}
|
| Tettamanti T and Varga I (2022), "Design of a Novel Road Traffic Control System for ZalaZONE Proving Ground", In Proceedings of The First Conference on ZalaZONE Related R&I Activities of Budapest University of Technology and Economics 2022. , pp. 63-66.
[BibTeX] [DOI]
|
BibTeX:
@inproceedings{MTMT:32809286,
author = {Tettamanti, Tamás and Varga, István},
title = {Design of a Novel Road Traffic Control System for ZalaZONE Proving Ground},
booktitle = {Proceedings of The First Conference on ZalaZONE Related R&I Activities of Budapest University of Technology and Economics 2022},
year = {2022},
pages = {63-66},
doi = {10.3311/BMEZalaZONE2022-013}
}
|
| Esztergár-Kiss D and Kerényi T (2022), "Defining mobility packages by using city specific parameters and user groups: a case study", TRANSPORTATION RESEARCH PROCEDIA. Vol. 62, pp. 467-474.
[BibTeX] [DOI] [URL]
|
BibTeX:
@article{MTMT:32758340,
author = {Esztergár-Kiss, Domokos and Kerényi, Tamás},
title = {Defining mobility packages by using city specific parameters and user groups: a case study},
journal = {TRANSPORTATION RESEARCH PROCEDIA},
year = {2022},
volume = {62},
pages = {467-474},
url = {https://m2.mtmt.hu/api/publication/32758340},
doi = {10.1016/j.trpro.2022.02.058}
}
|
| Kővári B, Tettamanti T and Bécsi T (2022), "Deep Reinforcement Learning based approach for Traffic Signal Control", Transportation Research Procedia. Vol. 62, pp. 278-285.
[Abstract] [BibTeX] [DOI] [URL]
|
| Abstract: The paper introduces a novel approach to the classical adaptive traffic signal control (TSC) problem. Instead of the traditional optimization or simple rule-based approach, Artificial Intelligence is applied. Reinforcement Learning is a spectacularly evolving realm of Machine Learning which owns the key features such as generalization, scalability, real-time applicability for solving the traffic signal control problem. Nevertheless, the researchers’ responsibilities become more serious regarding the formulation of state representation and the rewarding system. These Reinforcement Learning features are also the most fascinating and controversial virtues since the utilized abstractions decide whether the algorithm solves the problem or not. This paper proposes a new interpretation for the feature-based state representation and rewarding concept that makes the TSC problem highly generalizable and has scaling potential. The proposed method’s feasibility is demonstrated via a simulation study using a high-fidelity microscopic traffic simulator. The results justify that the Deep Reinforcement Learning based approach is a real candidate for real-time traffic light control. |
BibTeX:
@article{BALINT2022278,
author = {Kővári, Bálint and Tettamanti, Tamás and Bécsi, Tamás},
title = {Deep Reinforcement Learning based approach for Traffic Signal Control},
journal = {Transportation Research Procedia},
year = {2022},
volume = {62},
pages = {278-285},
note = {24th Euro Working Group on Transportation Meeting},
url = {https://www.sciencedirect.com/science/article/pii/S2352146522001624},
doi = {10.1016/j.trpro.2022.02.035}
}
|
| Varga B, Kulcsár B and Chehreghani MH (2023), "Deep Q-learning: A robust control approach", International Journal of Robust and Nonlinear Control. Vol. 33(1), pp. 526-544.
[Abstract] [BibTeX] [DOI] [URL]
|
| Abstract: Abstract This work aims at constructing a bridge between robust control theory and reinforcement learning. Although, reinforcement learning has shown admirable results in complex control tasks, the agent's learning behavior is opaque. Meanwhile, system theory has several tools for analyzing and controlling dynamical systems. This article places deep Q-learning is into a control-oriented perspective to study its learning dynamics with well-established techniques from robust control. An uncertain linear time-invariant model is formulated by means of the neural tangent kernel to describe learning. This novel approach allows giving conditions for stability (convergence) of the learning and enables the analysis of the agent's behavior in frequency-domain. The control-oriented approach makes it possible to formulate robust controllers that inject dynamical rewards as control input in the loss function to achieve better convergence properties. Three output-feedback controllers are synthesized: gain scheduling ℋ2$$ H2 $$, dynamical ℋ∞$$ H∞ $$, and fixed-structure ℋ∞$$ H∞ $$ controllers. Compared to traditional deep Q-learning techniques, which involve several heuristics, setting up the learning agent with a control-oriented tuning methodology is more transparent and has well-established literature. The proposed approach does not use a target network and randomized replay memory. The role of the target network is overtaken by the control input, which also exploits the temporal dependency of samples (opposed to a randomized memory buffer). Numerical simulations in different OpenAI Gym environments suggest that the ℋ∞$$ H∞ $$ controlled learning can converge faster and receive higher scores (depending on the environment) compared to the benchmark double deep Q-learning. |
BibTeX:
@article{https://doi.org/10.1002/rnc.6457,
author = {Varga, Balázs and Kulcsár, Balázs and Chehreghani, Morteza Haghir},
title = {Deep Q-learning: A robust control approach},
journal = {International Journal of Robust and Nonlinear Control},
year = {2023},
volume = {33},
number = {1},
pages = {526-544},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/rnc.6457},
doi = {10.1002/rnc.6457}
}
|
| Al-Salih W and Esztergár-Kiss D (2022), "Comparison between Physical Parameters and Sensory Parameters Regarding Travel Behavior Based on Sensitivity Analysis", JOURNAL OF ADVANCED TRANSPORTATION. Vol. 2022
[Abstract] [BibTeX] [DOI] [URL]
|
| Abstract: An effective way to optimize decision-making regarding the transport mode choice in the transportation system is improving or changing the travel cost, the travel time, or some other travel characteristics by using sensitivity analysis. This method encourages travelers to switch from private transportation to public transport, thus reducing pollution and emission. Furthermore, by searching for the most sensitive factors in travel behavior, the sensitivity analysis might highlight the directions of the improvement. However, according to previous studies, travelers will transfer from one transport mode to another only if the utility of the new choice is higher than the original transport mode. In the current paper, sensitivity analysis is applied to provide a comparison between the impacts of the physical and sensory parameters on the travel behavior and transport mode choice based on a utility function. The multinomial logit (MNL) model is used to estimate and perform the sensitivity analysis of the main variables. The sensitivity analysis demonstrates the degree of the travelers’ sensitivity to changes in the travel characteristics including both physical and sensory parameters. The models are calibrated with the NLOGIT software and validated through statistical indicators; thus, the essential factors influencing the choices are obtained. The input variables selected for the models are based on the data collected in Budapest, Hungary. The sensitivity analysis is determined by the outputs of the variables based on the changes of the input variables. As the results show, the travelers have more sensitivity to the changes in the physical parameters. Furthermore, the outcomes indicate that the travel cost is an essential variable, which greatly affects the decisions related to the transport mode choice. From the sensory parameters, the comfort factor has more influence than other factors. The results of the analysis present that the travelers’ sensitivity to changes in the travel utilities of the travel characteristics impacts the decisions regarding the mode choice behavior significantly. |
BibTeX:
@article{MTMT:33087915,
author = {Al-Salih, Wissam and Esztergár-Kiss, Domokos},
title = {Comparison between Physical Parameters and Sensory Parameters Regarding Travel Behavior Based on Sensitivity Analysis},
journal = {JOURNAL OF ADVANCED TRANSPORTATION},
year = {2022},
volume = {2022},
url = {https://m2.mtmt.hu/api/publication/33087915},
doi = {10.1155/2022/9061211}
}
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| Moslem S, Duleba S and Esztergár-Kiss D (2022), "Comparative mode choice analysis of university staff commuting travel preferences", EUROPEAN JOURNAL OF TRANSPORT AND INFRASTRUCTURE RESEARCH: QUARTERLY. Vol. 22, pp. 83-107.
[Abstract] [BibTeX] [DOI] [URL]
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| Abstract: Surveying citizen preferences on transportation modes when commuting is a major issue in urban transport planning. Most of the current methods approach the problem through the attributes of choices thus forecasting the demand indirectly. This paper aims to analyze a survey of commuting students and university staff by two direct preference models: the Analytic Hierarchy Process and the Best-Worst Method. Both techniques are based on pairwise comparisons; consequently, the commuting transport alternatives can be directly compared with each other, and the results are comparable, too. However, the two methods differ in the number and the nature of comparisons and in the consistency check, thus they can be regarded as competitors. A real-world case study on commuting student groups provides a better understanding of the proposed methodology. As a result, it can be stated that despite their low utilization in the transportation field, both the Analytic Hierarchy Process and the Best-Worst Method are applicable to mode choice preference surveys, and they produce comprehensive final outcomes. Therefore, the well-known tools of mode choice can be extended by Multi-Criteria-Decision-Making techniques to increase the efficiency of transport demand prediction. The extension is beneficial to avoid the bias of other methods in converting attribute evaluations to real mode choice decision, as both models, especially the Best-Worst approach, requires less cost and time than the mainstream techniques. |
BibTeX:
@article{MTMT:32788876,
author = {Moslem, Sarbast and Duleba, Szabolcs and Esztergár-Kiss, Domokos},
title = {Comparative mode choice analysis of university staff commuting travel preferences},
journal = {EUROPEAN JOURNAL OF TRANSPORT AND INFRASTRUCTURE RESEARCH: QUARTERLY},
year = {2022},
volume = {22},
pages = {83-107},
url = {https://m2.mtmt.hu/api/publication/32788876},
doi = {10.18757/ejtir.2022.22.2.5949}
}
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| Fang X and Tettamanti T (2022), "Change in Microscopic Traffic Simulation Practice with Respect to the Emerging Automated Driving Technology", Periodica Polytechnica Civil Engineering. Vol. 66(1), pp. 86–95.
[BibTeX] [DOI] [URL]
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BibTeX:
@article{Fang_Tettamanti_2022,
author = {Fang, Xuan and Tettamanti, Tamás},
title = {Change in Microscopic Traffic Simulation Practice with Respect to the Emerging Automated Driving Technology},
journal = {Periodica Polytechnica Civil Engineering},
year = {2022},
volume = {66},
number = {1},
pages = {86–95},
url = {https://pp.bme.hu/ci/article/view/17411},
doi = {10.3311/PPci.17411}
}
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| Gáspár P, Bécsi T and Tettamanti T (2022), "Autonóm járművek és automatizált közlekedéstechnológiák fejlesztése", Városi Közlekedés. Vol. LVIII(3), pp. 39-43.
[BibTeX]
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BibTeX:
@article{varosikozl2022,
author = {Péter Gáspár and Tamás Bécsi and Tamás Tettamanti},
title = {Autonóm járművek és automatizált közlekedéstechnológiák fejlesztése},
journal = {Városi Közlekedés},
year = {2022},
volume = {LVIII},
number = {3},
pages = {39-43}
}
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| Panker D and Tettamanti T (2022), "Automotive Proving Ground HD Map Models", In Proceedings of The First Conference on ZalaZONE Related R&I Activities of Budapest University of Technology and Economics 2022. , pp. 44-47.
[BibTeX] [DOI]
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BibTeX:
@inproceedings{MTMT:32809284,
author = {Panker, Dániel and Tettamanti, Tamás},
title = {Automotive Proving Ground HD Map Models},
booktitle = {Proceedings of The First Conference on ZalaZONE Related R&I Activities of Budapest University of Technology and Economics 2022},
year = {2022},
pages = {44-47},
doi = {10.3311/BMEZalaZONE2022-009}
}
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| Esztergár-Kiss D, Tordai D and Lopez Lizarraga JC (2022), "Assessment of travel behavior related to e-scooters using a stated preference experiment", TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE. Vol. 166, pp. 389-405.
[BibTeX] [DOI] [URL]
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BibTeX:
@article{MTMT:33252496,
author = {Esztergár-Kiss, Domokos and Tordai, Dániel and Lopez Lizarraga, Julio C.},
title = {Assessment of travel behavior related to e-scooters using a stated preference experiment},
journal = {TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE},
year = {2022},
volume = {166},
pages = {389-405},
url = {https://m2.mtmt.hu/api/publication/33252496},
doi = {10.1016/j.tra.2022.11.010}
}
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| Duleba S, Çelikbilek Y, Moslem S and Esztergár-Kiss D (2022), "Application of grey analytic hierarchy process to estimate mode choice alternatives: A case study from Budapest", TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES. Vol. 13
[Abstract] [BibTeX] [DOI] [URL]
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| Abstract: This study proposes a multi-criteria decision-making approach using the grey theory to analyze mode choices. An extended analytic hierarchy process (AHP) model, which combines the advantages of the classic AHP and the grey theory for the accurate estimation of the commuting mode weight coefficients, is applied to a real transportation problem involving evaluators. The presented approach is applied for a real-life case study in Budapest. Based on the results, for all distances, public transport is ranked first followed by the car mode; however, for short- and mid-distance commuters, home office and bike might be suitable options, too. The results of this method are compared with the fuzzy AHP method. Having the same ranking in case of the two analyses means that the proposed method provides correct results under uncertainty in a group decision-making process. Thus, the outcomes highlight the applicability of the proposed method to the evaluation of mode choice. |
BibTeX:
@article{MTMT:32665470,
author = {Duleba, Szabolcs and Çelikbilek, Yakup and Moslem, Sarbast and Esztergár-Kiss, Domokos},
title = {Application of grey analytic hierarchy process to estimate mode choice alternatives: A case study from Budapest},
journal = {TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES},
year = {2022},
volume = {13},
url = {https://m2.mtmt.hu/api/publication/32665470},
doi = {10.1016/j.trip.2022.100560}
}
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| Al-Salih W and Esztergár-Kiss D (2022), "Activity Chains Modelling of Travellers by Using Logit Models Based on the Utility Function", SUSTAINABILITY. Vol. 14
[Abstract] [BibTeX] [DOI] [URL]
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| Abstract: Transportation planning plays an essential role in improving the transportation system. Therefore, planners should have the ability to forecast the response of transportation demand to changes in the characteristics of the travellers. This has led researchers to work on more effective behavioural models by updating conventional models and replacing them with activity-based modelling to describe the daily activity chains performed by travellers. So, this study uses the activity model to model and analyse daily activity to identify the factors affecting the activity chain. This study aims to use logit models based on the utility function for modelling the activity chains of travellers in Budapest city. At the same time, we identify the effects of various characteristics related to the traveller, trip and location in the activity chains. This paper presents the relationships between the two aspects of travel behaviour and activity chains by providing two different causal structures. The results showed that the location attribute, activity duration and activity purpose were most influential on the activity chains. This study provides good insights into activity chains behaviour of travellers. It also extends the need to incorporate activity model behaviour within these complicated processes and household and individual decision making of daily activity. |
BibTeX:
@article{MTMT:32729113,
author = {Al-Salih, Wissam and Esztergár-Kiss, Domokos},
title = {Activity Chains Modelling of Travellers by Using Logit Models Based on the Utility Function},
journal = {SUSTAINABILITY},
year = {2022},
volume = {14},
url = {https://m2.mtmt.hu/api/publication/32729113},
doi = {10.3390/su14053025}
}
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| Esztergár-Kiss D and Aba A (2022), "A fenntartható mikromobilitás keretrendszere és városi igények feltárása európai példákon keresztül", KÖZLEKEDÉSTUDOMÁNYI SZEMLE. Vol. 72, pp. 11-23.
[BibTeX] [URL]
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BibTeX:
@article{MTMT:32787912,
author = {Esztergár-Kiss, Domokos and Aba, Attila},
title = {A fenntartható mikromobilitás keretrendszere és városi igények feltárása európai példákon keresztül},
journal = {KÖZLEKEDÉSTUDOMÁNYI SZEMLE},
year = {2022},
volume = {72},
pages = {11-23},
url = {https://m2.mtmt.hu/api/publication/32787912}
}
|
