Agents meet Traffic Simulation, Control and Management: A Review of Selected Recent Contributions
暂无分享,去创建一个
[1] Kai Zhang,et al. Air pollution and health risks due to vehicle traffic. , 2013, The Science of the total environment.
[2] Su Hu. Microscopic Traffic Model in Virtual Environment , 2013 .
[3] John M. Dolan,et al. Autonomous vehicle social behavior for highway entrance ramp management , 2013, 2013 IEEE Intelligent Vehicles Symposium (IV).
[4] M. Postorino,et al. Upgrading Urban Traffic Flow by a Demand-Responsive Fuzzy-Based Traffic Lights Model , 2014 .
[5] Sandip Sen,et al. Believing others: Pros and cons , 2002, Artif. Intell..
[6] Gonçalo Homem de Almeida Correia,et al. Simulating Carsharing Operations through Agent-based Modelling: An Application to the City of Lisbon, Portugal☆ , 2014 .
[7] Ansgar Traechtler,et al. Coordination of multiple autonomous intersections by using local neighborhood information , 2013, 2013 International Conference on Connected Vehicles and Expo (ICCVE).
[8] Abdul Hanan Abdullah,et al. A Survey on Intelligent Transportation Systems , 2013 .
[9] Michael J. North,et al. Agent-based modeling and simulation: introductory tutorial , 2013, WSC '13.
[10] Oliver Schauer,et al. Intelligent transportation system for traffic and road infrastructure-related data , 2016 .
[11] N. Geroliminis,et al. A dynamic cordon pricing scheme combining the Macroscopic Fundamental Diagram and an agent-based traffic model , 2012 .
[12] Joshua Auld,et al. POLARIS: Agent-based modeling framework development and implementation for integrated travel demand and network and operations simulations , 2016 .
[13] Filippo Menczer,et al. Computational Analysis of Collective Behaviors via Agent-Based Modeling , 2013, Handbook of Human Computation.
[14] Vikas Agrawal,et al. An agent-based simulation system for concert venue crowd evacuation modeling in the presence of a fire disaster , 2014, Expert Syst. Appl..
[15] S. T. Rakkesh,et al. Traffic light optimization solutions using multimodal, distributed and adaptive approaches , 2015, 2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer).
[16] WangFei-Yue. Agent-Based Control for Networked Traffic Management Systems , 2005 .
[17] Roberto Manione,et al. A Formal Description Language for the Modelling and Simulation of Timed Interaction Diagrams , 1996, FORTE.
[18] Sandip Debnath,et al. Believing others: pro and cons , 2000, Proceedings Fourth International Conference on MultiAgent Systems.
[19] Mohamed Tkiouat,et al. Multi-agent systems: theory and applications survey , 2015, Int. J. Intell. Syst. Technol. Appl..
[20] Mashrur Chowdhury,et al. Review of Microscopic Lane-Changing Models and Future Research Opportunities , 2013, IEEE Transactions on Intelligent Transportation Systems.
[21] Stephen F. Smith,et al. SURTRAC: Scalable Urban Traffic Control , 2013 .
[22] Hesham Rakha,et al. Simulation Testing of Connected Vehicle Applications in a Cloud-Based Traffic Simulation Environment , 2014 .
[23] Dong Ryeol Shin,et al. A Survey of Intelligent Transportation Systems , 2011, 2011 Third International Conference on Computational Intelligence, Communication Systems and Networks.
[24] Chenfeng Xiong,et al. Developing a 24-Hour Large-Scale Microscopic Traffic Simulation Model for the Before-and-After Study of a New Tolled Freeway in the Washington, DC–Baltimore Region , 2014 .
[25] Nicolas Sabouret,et al. A Method for Semi-automatic Explicitation of Agent's Behavior - Application to the Study of an Immersive Driving Simulator , 2014, ICAART.
[26] Milos N. Mladenovic,et al. Priority-based intersection control framework for self-driving vehicles: Agent-based model development and evaluation , 2014, 2014 International Conference on Connected Vehicles and Expo (ICCVE).
[27] Gang Lu,et al. Cloud Computing Survey , 2014 .
[28] M. Postorino,et al. Modelling User Mode Choices by an Ellipsoidal Fuzzy Approach , 2013 .
[29] Vicente R. Tomás López,et al. A cooperative multiagent system for traffic management and control , 2005, AAMAS '05.
[30] H. Christopher Frey,et al. Integrating a simplified emission estimation model and mesoscopic dynamic traffic simulator to efficiently evaluate emission impacts of traffic management strategies , 2015 .
[31] Xiuhe Wang,et al. Simulation System for Optimizing Urban Traffic Network Based on Multi-scale Fusion , 2014 .
[32] A KhamisMohamed,et al. Adaptive multi-objective reinforcement learning with hybrid exploration for traffic signal control based on cooperative multi-agent framework , 2014 .
[33] Helmut Prendinger,et al. iCO2: multi-user eco-driving training environment based on distributed constraint optimization , 2013, AAMAS.
[34] Prashant Borkar,et al. Review on techniques for traffic jam detection and congestion avoidance , 2015, 2015 2nd International Conference on Electronics and Communication Systems (ICECS).
[35] Anil Kumar Verma,et al. Intelligent Software Agent Technology: An Overview , 2014 .
[36] Tony White,et al. Distributed and adaptive traffic signal control within a realistic traffic simulation , 2013, Eng. Appl. Artif. Intell..
[37] Marc Miska,et al. An Experimental Space for Conducting Controlled Driving Behavior Studies based on a Multiuser Networked 3D Virtual Environment and the Scenario Markup Language , 2013, IEEE Transactions on Human-Machine Systems.
[38] Bart De Schutter,et al. A Comprehensive Survey of Multiagent Reinforcement Learning , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[39] Tina Balke,et al. How Do Agents Make Decisions? A Survey , 2014, J. Artif. Soc. Soc. Simul..
[40] Martina Ziefle,et al. Agent-based transportation: Demand management demand effects of reserved parking space and priority lanes in comparison and combination , 2015, 2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS).
[41] Amr Kandil,et al. Agent-Based Model Architecture for Mesoscopic Traffic Simulations , 2014 .
[42] Safwan Chendeb,et al. Innovative Virtual Reality Application for Road Safety Education of Children in Urban Areas , 2015, ISVC.
[43] Toyotaro Suzumura,et al. Toward simulating entire cities with behavioral models of traffic , 2013, IBM J. Res. Dev..
[44] Ana L. C. Bazzan,et al. A review on agent-based technology for traffic and transportation , 2013, The Knowledge Engineering Review.
[45] J. Barceló. Fundamentals of traffic simulation , 2010 .
[46] Mario Versaci,et al. A Neuro-Fuzzy Approach to Simulate the User Mode Choice Behaviour in a Travel Decision Framework , 2008 .
[47] Bo Chen,et al. A Review of the Applications of Agent Technology in Traffic and Transportation Systems , 2010, IEEE Transactions on Intelligent Transportation Systems.
[48] Davy Janssens,et al. Negotiation and Coordination in Carpooling: Agent-Based Simulation Model , 2016 .
[49] W. L. Wang,et al. An Agent-Based Microscopic Pedestrian Flow Simulation Model for Pedestrian Traffic Problems , 2014, IEEE Transactions on Intelligent Transportation Systems.
[50] Yue Yu,et al. Multi-agent based architecture for virtual reality intelligent simulation system of vehicles , 2013, 2013 10th IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC).
[51] Stefania Bandini,et al. When reactive agents are not enough: Tactical level decisions in pedestrian simulation , 2015, Intelligenza Artificiale.
[52] E. Vasconcellos,et al. Urban Transport Environment and Equity: The Case for Developing Countries , 2001 .
[53] Bo Chen,et al. Integrating mobile agent technology with multi-agent systems for distributed traffic detection and management systems , 2009 .
[54] Martin Treiber,et al. Traffic Flow Dynamics: Data, Models and Simulation , 2012 .
[55] M. Postorino. A comparative analysis of different specifications of modal choice models in an urban area , 1993 .
[56] Guoyuan Wu,et al. Advanced intersection management for connected vehicles using a multi-agent systems approach , 2012, 2012 IEEE Intelligent Vehicles Symposium.
[57] Stephen D. Boyles,et al. Auction-based autonomous intersection management , 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).
[58] Siuming Lo,et al. Microscopic modeling of pedestrian movement behavior: Interacting with visual attractors in the environment , 2014 .
[59] Fei-Yue Wang,et al. Agent-Based Control for Networked Traffic Management Systems , 2005, IEEE Intell. Syst..
[60] Pushkin Kachroo,et al. Dynamic Modeling of Performance Indices for Planning of Sustainable Transportation Systems , 2016 .
[61] W. Y. Szeto,et al. Review on Urban Transportation Network Design Problems , 2013 .
[62] Yinzhen Li,et al. Traffic Signal Fuzzy Control Approach Based on Green Time Effective Utilization Rate and Wireless Sensor Network , 2014 .
[63] Mohamed A. Khamis,et al. Adaptive multi-objective reinforcement learning with hybrid exploration for traffic signal control based on cooperative multi-agent framework , 2014, Eng. Appl. Artif. Intell..
[64] Jörg P. Müller,et al. Application Impact of Multi-agent Systems and Technologies: A Survey , 2014, Agent-Oriented Software Engineering.
[65] Fengxia Li,et al. Multi-agent based modeling and simulation of microscopic traffic in virtual reality system , 2014, Simul. Model. Pract. Theory.
[66] Benoit Gaudou,et al. BDI agents in social simulations: a survey , 2016, The Knowledge Engineering Review.
[67] Yi Liu,et al. Agent driving behavior modeling for traffic simulation and emergency decision support , 2015, 2015 Winter Simulation Conference (WSC).
[68] Giuseppe M. L. Sarnè,et al. An Agent-based Sensor Grid to Monitor Urban Traffic , 2014, WOA.