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Traffic Congestion Management as a Learning Agent Coordination Problem [chapter]

Kagan Tumer, Zachary T. Welch, Adrian Agogino
Multi-Agent Systems for Traffic and Transportation Engineering  
In the second problem, we study how agents learn to select desirable lanes to improve traffic flow and minimize delays for all drivers.  ...  In both cases, we focus on having an agent select the most suitable action for each driver using reinforcement learning, and explore the impact of different reward functions on system behavior.  ...  Indeed, multi-agent learning algorithms provide a natural approach to addressing congestion problems in traffic and transportation domains (Bazzan et al., 1999; Dresner and Stone, 2004; Klügl et al.,  ... 
doi:10.4018/9781605662268.ch012 fatcat:4rsdnb3bujaz5kdokmlmm5gisi

Traffic Congestion Management as a Learning Agent Coordination Problem [chapter]

Kagan Tumer, Zachary T. Welch, Adrian Agogino
Multi-Agent Systems for Traffic and Transportation Engineering  
In the second problem, we study how agents learn to select desirable lanes to improve traffic flow and minimize delays for all drivers.  ...  In both cases, we focus on having an agent select the most suitable action for each driver using reinforcement learning, and explore the impact of different reward functions on system behavior.  ...  Indeed, multi-agent learning algorithms provide a natural approach to addressing congestion problems in traffic and transportation domains (Bazzan et al., 1999; Dresner and Stone, 2004; Klügl et al.,  ... 
doi:10.4018/978-1-60566-226-8.ch012 fatcat:pn2hylsqprgb7pe2ap6deo7ade

A Multi-Agent Simulation of Collaborative Air Traffic Flow Management [chapter]

Shawn R. Wolfe, Peter A. Jarvis, Francis Y. Enomoto, Maarten Sierhuis, Bart-Jan van Putten
Multi-Agent Systems for Traffic and Transportation Engineering  
Today's air traffic management system is not expected to scale to the projected increase in traffic over the next two decades.  ...  We summarize a new concept that has been proposed for collaborative air traffic flow management, the problems it is meant to address, and our approach to evaluating the concept.  ...  The Concept of Operations for the Next Generation Air Transportation System (Joint Planning and Development Office, 2007) defines how the air transportation system shall operate in the year 2025, forming  ... 
doi:10.4018/978-1-60566-226-8.ch018 fatcat:vmx6ppgbwvfyhjqyw57wp4eeiu

MATSim-T [chapter]

Michael Balmer, Marcel Rieser, Konrad Meister, David Charypar, Nicolas Lefebvre, Kai Nagel
Multi-Agent Systems for Traffic and Transportation Engineering  
The work is part of the research project MATSim (Multi Agent Transport Simulation, http://matsim.org).  ...  ABSTRACT Micro-simulations for transport planning are becoming increasingly important in traffic simulation, traffic analysis, and traffic forecasting.  ...  This chapter presents such a microsimulation, called MATSim-T (Multi Agent Transport Simulation Toolkit), implemented as a Java application, usable on any operating system.  ... 
doi:10.4018/978-1-60566-226-8.ch003 fatcat:cwgdf7xa3ba2ri2h6yxiy22ooy

Game Based Multi-Agent Equilibrium in Intelligent City Transportation System Design

Jin LIU, Hong-jie ZHAO, Yoshito OGATA
2018 DEStech Transactions on Computer Science and Engineering  
A multi-agent architecture is built for the intelligent transport control system, then the game equilibrium mechanism and algorithm are developed.  ...  The results show that the game equilibrium algorithm designed for multi-agent intelligent transport control system can effectively achieve the urban traffic coordination, which is beneficial to reduce  ...  Game Equilibrium in Multi-Agent Intelligent Transport Control System The equilibrium between agents is a very important for urban intelligent traffic control system based on multi-agent.  ... 
doi:10.12783/dtcse/pcmm2018/23657 fatcat:gjsjboeybnh7dkdnh52rwrkhdy

Agent-Based Simulation For Supply Chain Transport Corridors

Kamalendu Pal
2015 Zenodo  
This paper presents the use of multi-agent systems (MAS) to model and simulate some aspects of transportation corridors, and in particular the area of weighbridge resource optimization for operational  ...  An underlying multi-agent model provides a means of modeling the relationships among stakeholders in order to enable coordination in a transport corridor environment.  ...  Kaim and Lenar [14] desc ribe an approach to create t he multi-agent system (MAS) for simulating transport corridors.  ... 
doi:10.5281/zenodo.1107369 fatcat:wr5rus5wjzh6bcxbkuewnd76su

Simulation Of Ethical Behavior In Urban Transportation

Ali Reza Honarvar, Naser Ghasem Agaee
2009 Zenodo  
For controlling urban transportations, traffic lights show similar behavior for different kinds of vehicles at intersections.  ...  A model is proposed for adding special component to emergency vehicles and traffic lights for controlling traffic in ethical manner. The proposed model is simulated by JADE.  ...  For simulating intelligent transportation, it is good idea to use intelligent autonomous system and multi-agent system. So, I use multiagent approach for simulating my proposed model. II.  ... 
doi:10.5281/zenodo.1073634 fatcat:6mo5oozjibatrdlo3yhpicywae

Modeling of route planning system based on Q value-based dynamic programming with multi-agent reinforcement learning algorithms

Mortaza Zolfpour-Arokhlo, Ali Selamat, Siti Zaiton Mohd Hashim, Hossein Afkhami
2014 Engineering applications of artificial intelligence  
In this paper, a new model for a route planning system based on multi-agent reinforcement learning (MARL) algorithms is proposed.  ...  The important part of the study was to use a multi-agent system (MAS) with learning abilities which in order to make decisions about routing vehicles between Malaysia 0 s cities.  ...  They emphasized the importance of agent technology for improvement of the RTN and for traffic system performance.  ... 
doi:10.1016/j.engappai.2014.01.001 fatcat:6j4murpo6zc6vpuesvic4wtklu

Review of Traffic Signal Control based on Fuzzy Logic

Nidhi Sharma, Shashank Sahu
2016 International Journal of Computer Applications  
Fuzzy logic approach will definitely help in transportation management system in future.  ...  The problems in traffic engineering are mainly characterized by the imprecise, ambiguous and uncertain parameters.  ...  Presented a traffic signal control system which was based on multi-agent control scheme, real time traffic simulation, and fuzzy inference system.  ... 
doi:10.5120/ijca2016910869 fatcat:3se6zcrxxrdqjduvg75t2icfrq

Adaptive Traffic Control System using Reinforcement Learning

Kranti Shingate, Komal Jagdale, Yohann Dias, Fr. c Rodrigues Institute of Technology
2020 International Journal of Engineering Research and  
Traffic Light Control System with pre-set clocks are broadly used to invigilate and control the traffic generated at the intersections of numerous streets.  ...  This paper presents a system which handles traffic using Artificial Intelligence technique for adapting signal according to the density of traffic thereby automatically increasing or decreasing traffic  ...  The multi-agent system for network traffic signal control introduces the use of a multi-agent system and reinforcement learning algorithm to obtain an efficient traffic signal control [4] .In this, two  ... 
doi:10.17577/ijertv9is020159 fatcat:wk6t2z7rvfdktmiogdkdvs2k4a

TraSMAPI: An API oriented towards Multi-Agent Systems real-time interaction with multiple Traffic Simulators

Ivo J.P.M. Timoteo, Miguel R. Araujo, Rosaldo J.F. Rossetti, Eugenio C. Oliveira
2010 13th International IEEE Conference on Intelligent Transportation Systems  
It is presented as a tool for the simulation of dynamic control systems in road networks with special focus on Multi-Agent Systems.  ...  framework to develop Multi-Agent Systems.  ...  ACKNOWLEDGMENT This work has been partially supported by FCT, the Portuguese Agency for R&D, within the BII Framework (Integration into Research Grants).  ... 
doi:10.1109/itsc.2010.5625238 dblp:conf/itsc/TimoteoARO10 fatcat:yzxvi3gox5capmpml4ibogpjpm

Multi-agent based vehicular congestion management

Prajakta Desai, Seng W. Loke, Aniruddha Desai, Jack Singh
2011 2011 IEEE Intelligent Vehicles Symposium (IV)  
The autonomous and distributed nature of multi-agent systems is well-suited to the transportation domain which is dynamic and geographically distributed.  ...  Existing congestion management techniques in Intelligent Transportation Systems (ITS) have not been very effective due to lack of autonomous and collaborative behavior of the constituent traffic control  ...  scenarios. 3) Multi-Layered Multi-Agent System Models In the Multi-Layered Multi-Agent System Models, the traffic control and coordination responsibility is distributed amongst various levels of agents  ... 
doi:10.1109/ivs.2011.5940493 dblp:conf/ivs/DesaiLDS11 fatcat:hl6wvy6n2rdnhn67j4dtzztchy

An Open Source Modeling Framework for Interdependent Energy-Transportation- Communication Infrastructure in Smart and Connected Communities [article]

Xing Lu, Kathryn Hinkelman, Yangyang Fu, Jing Wang, Wangda Zuo, Qianqian Zhang, Walid Saad
2019 arXiv   pre-print
First, a novel multi-level, multi-layer, multi-agent approach is proposed to enable flexible modeling of the interconnected energy, transportation, and communication systems.  ...  In response to this, this paper proposes an open source, flexible, integrated modeling framework suitable for designing coupled energy, transportation, and communication systems and for assessing the impact  ...  MULTI-LAYER, MULTI-BLOCK, MULTI-AGENT APPROACH This study proposes a 3M approach for the flexible and extensible modeling of the coupled systems in a community level.  ... 
arXiv:1904.03678v1 fatcat:7nbyui4zlbef3mbb7zsg4s2ge4

Multi-modal traffic simulation platform on parallel and distributed systems

Toyotaro Suzumura, Hiroki Kanezashi
2014 Proceedings of the Winter Simulation Conference 2014  
for a multi-threading environment and a cluster of 12 nodes (with a total of 144 cores) for a distributed system.  ...  With this platform, municipal planners or traffic engineers at transportation companies can quickly conduct many series of simulations with various what-if scenarios in a parallel and distributed manner  ...  M3: MULTI-MODAL TRAFFIC SIMULATION This section describes the system design and implementation of our proposed scalable multi-modal traffic simulate platform called M3 and also the agent behavior models  ... 
doi:10.1109/wsc.2014.7019939 dblp:conf/wsc/SuzumuraK14 fatcat:nid7gl6firgivotsvdh66z757a

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  ...  We present the literature survey in section 3 about agent-oriented engineering and multi-agent system in traffic coordination.  ... 
doi:10.5120/ijca2016911740 fatcat:l5ix2p2hlbdq7nba6rlbakswbi
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