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TrafficGen: A Flexible Tool For Informing Agent-Based Traffic Simulations With Open Data [chapter]

Alexandre Bonhomme, Philippe Mathieu, Sébastien Picault
2015 Lecture Notes in Computer Science  
Multi-Agent Systems have been widely used for traffic simulation.  ...  The modeling of individuals allows indeed to introduce a behavioral diversity which is crucial to obtain realistic simulation outcomes.  ...  Those agents are in charge of modeling all the traffic complexity through their behaviors, which are tightly dependent on the aims of the simulator.  ... 
doi:10.1007/978-3-319-18944-4_22 fatcat:e3g2dpnsrbd4hg5ktbchimxnmi

Simulating Transport and Land Use Interdependencies for Strategic Urban Planning—An Agent Based Modelling Approach

Nam Huynh, Pascal Perez, Matthew Berryman, Johan Barthélemy
2015 Systems  
Simulating transport and land use interdependencies for strategic urban planning-an agent based modelling approach. Systems, 3 (4), 177-210.  ...  Simulating transport and land use interdependencies for strategic urban planning-an agent based modelling approach. Systems, 3 (4), 177-210.  ...  [4] demonstrated the flexibility of agent based modelling by successfully developing an agent based model that satisfactorily simulate the traffic demands of two scenarios: (i) Zurich city in Switzerland  ... 
doi:10.3390/systems3040177 fatcat:bbjiigu3vra4fmewj7svgeiepi

WAD: A Deep Reinforcement Learning Agent for Urban Autonomous Driving [article]

Arjit Sharma, Sahil Sharma
2021 arXiv   pre-print
Further, passing on the latent state information to WAD agents based on TD3 and SAC methods to learn the optimal driving policy.  ...  This paper introduces the DRL driven Watch and Drive (WAD) agent for end-to-end urban autonomous driving.  ...  [5] first proposed to use the CNN model to predict crucial perception indicators that directly relate to the affordance of the road/traffic state for driving and coined the direct perception approach  ... 
arXiv:2108.12134v1 fatcat:nvjbdfdoijhzjjo3gzlqz5y2ly

Geosimulation, Automata, and Traffic Modeling [chapter]

Paul M. Torrens
2004 Handbook of Transport Geography and Spatial Systems  
for formulating traffic models.  ...  MODELING VEHICULAR TRAFFIC The geosimulation approach allows for "microscopic" traffic modeling, with individual vehicles being simulated as independent entities, and permits for the simulation of interactions  ... 
doi:10.1108/9781615832538-031 fatcat:ka2jcjvtgnhlrampgjmv3vafyq

A Versatile Description Framework for Modeling Behaviors in Traffic Simulations

Alexandre Bonhomme, Philippe Mathieu, Sebastien Picault
2014 2014 IEEE 26th International Conference on Tools with Artificial Intelligence  
Simulation platforms There is a large diversity of traffic simulators based on multi-agents systems or cellular automata.  ...  Behavioral models In most traffic simulators, modeling efforts essentially focus on vehicles which are in general the only agents in the system.  ... 
doi:10.1109/ictai.2014.158 dblp:conf/ictai/BonhommeMP14 fatcat:jyy5jjz7hvbqpbjqqynhcmju7q

A dynamic feasibility analysis of public investment projects: An integrated approach using system dynamics and agent-based modeling

Haejin Jo, Hakyeon Lee, Yongyoon Suh, Jieun Kim, Yongtae Park
2015 International Journal of Project Management  
As a remedial measure, the combination of system dynamics (SD) and agent-based modeling (ABM) is proposed due to their complementary strengths.  ...  Consequently, this paper suggests a new approach to dynamic feasibility analysis for public investment projects through an integrated simulation model using SD and ABM.  ...  Similarly, drivers evaluate the existing road by comparing their affordable velocity with the velocity of other cars on the existing road, which is determined by the traffic of this road.  ... 
doi:10.1016/j.ijproman.2015.07.002 fatcat:7imhn42oyvecfa4iv54smzthii

Deep Learning and Control Algorithms of Direct Perception for Autonomous Driving [article]

Der-Hau Lee, Kuan-Lin Chen, Kuan-Han Liou, Chang-Lun Liu, Jinn-Liang Liu
2019 arXiv   pre-print
(heading angle, distances to preceding cars, and distance to road centerline) for estimating driving affordances in highway traffic.  ...  We also design a controller with these indicators and the short-range sensor information of TORCS (the open racing car simulator) for driving simulated cars to avoid collisions.  ...  ) [27] for model developers to design a variety of normal driving and racing controllers in simulated self-driving traffic [1, 27, 28, 29, 32] .  ... 
arXiv:1910.12031v2 fatcat:npwy33pr6nfglkh3otsr3mb5se

Impact of Mobility-on-Demand on Traffic Congestion: Simulation-based Study [article]

David Fiedler, Michal Čáp, Michal Čertický
2017 arXiv   pre-print
In this work, we perform a simulation-based analysis of consequences of a hypothetical deployment of a large-scale station-based mobility-on-demand system in Prague and measure the traffic intensity generated  ...  The increasing use of private vehicles for transportation in cities results in a growing demand for parking space and road network capacity.  ...  Multi-agent simulation In order to test the impact of the MoD system deployment on the road network utilization, we have implemented a multi-agent simulation of vehicular traffic in Prague based on AgentPolis  ... 
arXiv:1708.02484v1 fatcat:agajjgrisnee3mxy7zlxki7z3i

Selection of information types based on personal utility

Franziska Klügl, Ana L. C. Bazzan, Joachim Wahle
2003 Proceedings of the second international joint conference on Autonomous agents and multiagent systems - AAMAS '03  
Traffic is an interesting research area for multi-agent systems, as the inter-dependence of actions leads to a high frequency of implicit coordination decisions among agents.  ...  The present work investigates the simulation of a market for traffic information. This market is implemented as a traffic centre where some measurements of the traffic conditions are evaluated.  ...  Multi Agent-based Simulation Environment Multi-agent simulations can be very demanding to implement as the models have to consider particular instances of drivers, environment etc.  ... 
doi:10.1145/860575.860636 dblp:conf/atal/KluglBW03 fatcat:wdrgptzqnfbg3ifnbubjeut6ae

Conditional Affordance Learning for Driving in Urban Environments [article]

Axel Sauer, Nikolay Savinov, Andreas Geiger
2018 arXiv   pre-print
in simulation.  ...  In addition, our approach is the first to handle traffic lights and speed signs by using image-level labels only, as well as smooth car-following, resulting in a significant reduction of traffic accidents  ...  Acknowledgments We would like to thank Vanessa Diedrichs for many helpful discussions about autonomous driving and data visualization and for her general support.  ... 
arXiv:1806.06498v3 fatcat:vzxrg62hlve57lj3hvrjfgrgfy

Extending a generic traffic model to specific agent platform requirements

Alberto Fernández-Isabel, Rubén Fuentes-Fernández
2017 Computer Science and Information Systems  
The work presented follows this approach and introduces a generic Modelling Language (ML) through a model, that can be specialized to meet different needs in road traffic simulations.  ...  Traffic simulations have become a fundamental tool for these studies. They provide a controlled environment to analyse traffic settings. However, they present some shortcomings.  ...  This work has been done in the context of the project "Collaborative Ambient Assisted Living Design (ColoSAAL)" (grant TIN2014-57028-R ) supported by the Spanish Ministry for Economy and Competitiveness  ... 
doi:10.2298/csis161010001f fatcat:gtln36srcra3jj435rv5qznwli

Efficient graph-based dynamic load-balancing for parallel large-scale agent-based traffic simulation

Yadong Xu, Wentong Cai, Heiko Aydt, Michael Lees
2014 Proceedings of the Winter Simulation Conference 2014  
Its efficiency is investigated in the agent-based traffic simulator SEMSim Traffic using real world traffic data.  ...  One of the issues of parallelizing large-scale agent-based traffic simulations is partitioning and loadbalancing.  ...  ACKNOWLEDGMENTS This work was financially supported by the Singapore National Research Foundation under its Campus for Research Excellence And Technological Enterprise (CREATE) programme.  ... 
doi:10.1109/wsc.2014.7020180 dblp:conf/wsc/XuCAL14 fatcat:nzqgtwc2znbc5admjg36moeu2u

End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances [article]

Marin Toromanoff, Emilie Wirbel, Fabien Moutarde
2020 arXiv   pre-print
We present a novel technique, coined implicit affordances, to effectively leverage RL for urban driving thus including lane keeping, pedestrians and vehicles avoidance, and traffic light detection.  ...  To our knowledge we are the first to present a successful RL agent handling such a complex task especially regarding the traffic light detection.  ...  Acknowledgements The authors would like to thank Mustafa Shukor for his valuable time and his help on training some of our encoder.  ... 
arXiv:1911.10868v2 fatcat:u2mphen4zfc7jpp3acxpk324tq

End-to-End Model-Free Reinforcement Learning for Urban Driving Using Implicit Affordances

Marin Toromanoff, Emilie Wirbel, Fabien Moutarde
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
We present a novel technique, coined implicit affordances, to effectively leverage RL for urban driving thus including lane keeping, pedestrians and vehicles avoidance, and traffic light detection.  ...  To our knowledge we are the first to present a successful RL agent handling such a complex task especially regarding the traffic light detection.  ...  Acknowledgements The authors would like to thank Mustafa Shukor for his valuable time and his help on training some of our encoder.  ... 
doi:10.1109/cvpr42600.2020.00718 dblp:conf/cvpr/ToromanoffWM20 fatcat:nykpjh6jmvhjlchym5juyd2jrq

Traffic noise feedback in agent-based Integrated Land-Use/Transport Models

Nico Kuehnel, Dominik Ziemke, Rolf Moeckel
2021 Journal of Transport and Land Use  
While existing transport models are capable of accurately representing environmental stressors of road traffic, this is less true for integrated land-use/transport models.  ...  This paper presents a proof of concept for an integrated, microscopic and agent-based approach for a feedback loop between transport-related noise emissions and land-use.  ...  is paper presents an implementation of environmental feedback in the microscopic, agent-based FABILUT modeling suite using the example of road traffic noise.  ... 
doi:10.5198/jtlu.2021.1852 fatcat:xlt3724cvnhgdapo6ikwjhx4sy
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