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Multi-Agent Based Microscopic Simulation Modeling for Urban Traffic Flow

Xianyan Kuang, Lunhui Xu, Cuiqin Wu, Yinfeng Wu
2014 Sensors & Transducers  
simulation system (UTFSim) based on multi-agent.  ...  The road agent, vehicle agent and signal agent are modeled.  ...  Paper [11] builds a multi-agent behavioral model and designs a road traffic simulation tool able to deal realistically with road junctions.  ... 
doaj:acf03a5e676148aa95de2deac67a0d95 fatcat:clchuesk6fdt7dvkvxu5uzse5i

Application of Multi-Agent Transport Simulation for Urban Road Network Operation in Incident Case
유고상황 시 MatSIM을 활용한 도시부 도로네트워크 운영 분석

Joo-Young Kim, Yeon-Seung Yu, Seung-Jae Lee, Hye-Jung Hu, Jung-Gon Sung
2012 International Journal of Highway Engineering  
METHODS : One of the stochastic dynamic models is MatSIM. MatSIM is a transportation simulation tool based on stochastic dynamic model and activity based model.  ...  The simulation results show reasonable ranges which can be used for traffic pattern analysis.  ...  Nagel, 2006, Truly agent-oriented coupling of an activity-based demand generation with a multi-agent traffic simulation.  ... 
doi:10.7855/ijhe.2012.14.4.163 fatcat:ostt25yw5ravjfmwnaxjwthi2q

Dynamic Hybrid Traffic Flow Modeling [article]

Hassane Abouaïssa and Yoann Kubera and Gildas Morvan
2014 arXiv   pre-print
It allows to simulate large road networks efficiently using a dynamic level of detail. This simulator relies on a multi-level agent-based modeling framework called SIMILAR.  ...  In 2013 we started the development of a multi-level agent-based simulator called JAM-FREE within the ISART project.  ...  Research and Technology, the Ministry of Higher Education and Research, and the National Center for Scientific Research (CNRS).  ... 
arXiv:1401.6773v1 fatcat:2rdislhflbelfap6truftaakdy

Simulation System for Optimizing Urban Traffic Network Based on Multi-scale Fusion

Xiuhe Wang
2014 International Journal of Smart Home  
Such vehicle agents can be reliable inner core of traffic simulation for the intelligent control of urban transportation.  ...  17] . 235 optimized simulation system of ubran traffic road net.  ...  Design of Simulation System for Urban Traffic Network Based on Multi-scale Fusion Design of System Modules The proposed system takes advantage of multi-agents to integrate simulation models in different  ... 
doi:10.14257/ijsh.2014.8.2.23 fatcat:utxgn7brdjctxihqidai5hh35y

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

Towards Building an Intelligent Traffic Simulation Platform

Jian Cao, Minglu Li, Linpeng Huang, R. Qinsheng, Ying Li
2006 Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06)  
The microscopic traffic simulation approach defines the behavior of each interactive object in the traffic network, such as a vehicle and a traffic light through an individual model so that we can observe  ...  Traffic congestion has become a major concern for many cities throughout the world. Simulations provide useful tools for engineer to plan traffic systems and government to make decisions.  ...  There is by now some agreement that multi-agent simulation may be a viable technology for microscopic traffic simulation.  ... 
doi:10.1109/ccgrid.2006.1630954 fatcat:pjrzcvi54zhcraryp3ryg2yddi

A Multi-modal Urban Traffic Agent-Based Framework to Study Individual Response to Catastrophic Events [chapter]

Kevin Chapuis, Patrick Taillandier, Benoit Gaudou, Alexis Drogoul, Eric Daudé
2018 Lecture Notes in Computer Science  
From individual mobility behaviors to macroscopic traffic dynamics, agent-based modeling provides an interesting conceptual framework to study this question.  ...  Unfortunately, most proposals in the domain do not provide any simple way to model these multi-modal trajectories, and thus fell short at simulating in a credible way the outcomes of a catastrophic event  ...  Simulation of multi-modal traffic and evacuation model The normal course of the simulation is a work day of the week, agent following their agenda.  ... 
doi:10.1007/978-3-030-03098-8_28 fatcat:6wbdand5effyjkzvbh47c2ui4y

Hierarchical Agent-Based Modeling for Improved Traffic Routing

Raghda Alqurashi, Tom Altman
2019 Applied Sciences  
The model provides drivers with real-time alternative routes, computed via a decentralized multi-agent model, that tries to achieve a system-optimal traffic distribution within an entire system, thus reducing  ...  An ABM is an improvement over model simulations which only describe the global behavior of a system.  ...  Traffic networks usually fit into a multi-agent paradigm. With the ABM method, it is possible to understand a set of rules which determine the behavior of a specific agent.  ... 
doi:10.3390/app9204376 fatcat:f6ghgh3op5hbplcyitpo4jwsim

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  
multi-agent environments for traffic simulation and, on the other hand, reproducing real-time traffic state in a simulation (or compare the outputs of a particular hypothesis to the real situation).  ...  Simulation platforms There is a large diversity of traffic simulators based on multi-agents systems or cellular automata.  ... 
doi:10.1109/ictai.2014.158 dblp:conf/ictai/BonhommeMP14 fatcat:jyy5jjz7hvbqpbjqqynhcmju7q

Traffic Simulation Performance Optimization through Multi-Resolution Modeling of Road Segments

Daniel Zehe, David Grotzky, Heiko Aydt, Wentong Cai, Alois Knoll
2015 Proceedings of the 3rd ACM Conference on SIGSIM-Principles of Advanced Discrete Simulation - SIGSIM-PADS '15  
We propose a hybrid traffic simulation model that uses both, a high-resolution agent-based microscopic simulation alongside a lower resolution flow-based macroscopic simulation for specific road segments  ...  In an agent-based traffic simulation the level of detail is crucial to the system's runtime performance as well as the fidelity of the results.  ...  Microscopic Model For the microscopic traffic simulation models, a car-following model that determines acceleration and gap calculation between agents is important to express the traffic behavior correctly  ... 
doi:10.1145/2769458.2769475 dblp:conf/pads/ZeheGACK15 fatcat:lhr52jn4vjb73niz4pwizetm5m

X10-based massive parallel large-scale traffic flow simulation

Toyotaro Suzumura, Sei Kato, Takashi Imamichi, Mikio Takeuchi, Hiroki Kanezashi, Tsuyoshi Ide, Tamiya Onodera
2012 Proceedings of the ACM SIGPLAN 2012 X10 Workshop on - X10 '12  
To tackle these challenges, it is highly necessary to have fine-grained and largescale agent simulation for designing smarter cities.  ...  Experimental results demonstrate linear scalable performance in simulating large-scale traffic flows of the national Japanese road network and a hundred of cities of the world using thousands of CPU cores  ...  Megaffic adopts a multi-agent system for traffic flow modeling. Each vehicle is modeled as an autonomous agent.  ... 
doi:10.1145/2246056.2246059 fatcat:tzypvub26rejxmsf6gjd5s6g7a

A First Step Towards Dynamic Hybrid Traffic Modeling [article]

Najia Bouha, Gildas Morvan, Hassane Abouaïssa, Yoann Kubera
2015 arXiv   pre-print
The work conducted in this paper presents a first step allowing simulation of wide area traffic network on the basis of dynamic hybrid modeling, where the representation associated to a network section  ...  Hybrid traffic modeling and simulation provide an important way to represent and evaluate large-scale traffic networks at different levels of details.  ...  Many meta-models and simulation engines dedicated to multi-level agent-based modeling have been proposed in the literature. See e.g. Morvan (2013) for a complete review.  ... 
arXiv:1505.07257v1 fatcat:gnnrpi5jwbgblbfcuxkfat7i2y

Group Oriented Traffic Coordination and its Effectiveness

Ankit Sharma, Shashank Sahu, Rajesh Kumar
2016 International Journal of Computer Applications  
Rapid urbanization of cities and metro areas has resulted in increasing number of vehicles movement, as a result of that traffic jam tends to form very often at multiple locations.  ...  To find the best effective solution of traffic congestion and the problem of coordination among neighboring vehicles we simulate the group oriented driving approach, vehicles form group with their neighbor  ...  A multi-agent system using fuzzy logic for control of urban traffic system is mentioned in [1] .  ... 
doi:10.5120/ijca2016911740 fatcat:l5ix2p2hlbdq7nba6rlbakswbi

SEMSim: A Distributed Architecture for Multi-scale Traffic Simulation

Yadong Xu, Heiko Aydt, Michael Lees
2012 2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation  
This multi-objective optimization problem is generally hard to solve for the large amount of agents which we will have to consider for a city-scale simulation.  ...  In terms of model construction, researchers built multi-model or hybrid traffic simulation aimed at capturing necessary details while omitting unnecessary details in traffic flow models [11] .  ... 
doi:10.1109/pads.2012.40 dblp:conf/pads/XuAL12 fatcat:x7lkmfilzvhn7grsdimyy7mnxm

Review of Virtual Traffic Simulation and Its Applications

Cui-juan Liu, Zhen Liu, Yan-jie Chai, Ting-ting Liu
2020 Journal of Advanced Transportation  
Secondly, it compares and analyzes various existing car following technologies, and points out that animated traffic simulation is a hotspot in traffic simulation research.  ...  Analyzing and modeling traffic is of great practical significance to urban intelligent traffic management. In this paper, the existing traffic simulation research is reviewed and summarized.  ...  Kapadia put forth a multi-agent behavior framework, which simulated complex multi-role interactions and controlled the flexibility and automation of multi-agents [32] .  ... 
doi:10.1155/2020/8237649 fatcat:e745cgjusjftvledjh53zzqwtq
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