Heterogeneous tolls and values of time in multi-agent transport simulation

被引：9
|
作者：
Nagel, Kai [1 ,2 ]
Kickhoefer, Benjamin [2 ]
Joubert, Johan W. [1 ]
机构：
[1] Univ Pretoria, Ind & Syst Engn, ZA-0002 Pretoria, South Africa
[2] TU Berlin, Transport Syst Planning & Transport Telemat, Berlin, Germany
来源：
5TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT-2014), THE 4TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2014) | 2014年 / 32卷
关键词：
transport simulation; multi-agent simulation; evolutionary algorithm; value of time;
D O I：
10.1016/j.procs.2014.05.488
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In evolutionary algorithms, agents' genotypes are often generated by more or less random mutation, followed by selection based on the fitness of their phenotypes. This paper shows that elements of this principle can be applied in multi-agent transport simulations, in the sense that a router, when faced with complex interactions between heterogeneous toll levels and heterogeneous values of time, can resort to some amount of randomness rather than being able to compute the exact best solution in every situation. The computational illustrations are based on a real world case study in the province of Gauteng, South Africa. (C) 2014 Published by Elsevier B.V.
引用
收藏
页码：762 / 768
页数：7
相关论文
共 50 条
  • [1] Extensible Software Design of a Multi-Agent Transport Simulation
    Grether, D.
    Nagel, K.
    4TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2013), THE 3RD INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2013), 2013, 19 : 380 - 388
  • [2] A multi-agent theory for simulation
    Dávila, J
    Uzcátegui, M
    Tucci, K
    PROCEEDINGS OF THE FIFTH IASTED INTERNATIONAL CONFERENCE ON MODELLING, SIMULATION, AND OPTIMIZATION, 2005, : 285 - 290
  • [3] Multi-Agent Transport Simulation Model with Social Network in Small World
    Okushima, Masashi
    Akiyama, Takamasa
    6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS, AND THE 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS, 2012, : 544 - 549
  • [4] Multi-agent architecture integrating heterogeneous models of dynamical processes: The representation of time
    Fianyo, E
    Treuil, JP
    Perrier, E
    Demazeau, Y
    MULTI-AGENT SYSTEMS AND AGENT-BASED SIMULATION, 1998, 1534 : 226 - 236
  • [5] Communication in multi-agent simulation.
    Noda, I
    Shinoda, K
    Ohta, M
    SICE 2002: PROCEEDINGS OF THE 41ST SICE ANNUAL CONFERENCE, VOLS 1-5, 2002, : 875 - 879
  • [6] Output variability caused by random seeds in a multi-agent transport simulation model
    Paulsen, Mads
    Rasmussen, Thomas Kjaer
    Nielsen, Otto Anker
    9TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2018) / THE 8TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2018) / AFFILIATED WORKSHOPS, 2018, 130 : 850 - 857
  • [7] Multi-agent simulation on multiple GPUs
    Ho, N. M.
    Thoai, N.
    Wong, W. F.
    SIMULATION MODELLING PRACTICE AND THEORY, 2015, 57 : 118 - 132
  • [8] Multi-Agent Transport Simulation Model for Eco-Commuting Promotion Planning
    Okushima, Masashi
    Akiyama, Takamasa
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2011, 15 (07) : 911 - 918
  • [9] Multi-Agent Transport Simulations and Economic Evaluation
    Nagel, Kai
    Grether, Dominik
    Beuck, Ulrike
    Chen, Yu
    Rieser, Marcel
    Axhausen, Kay W.
    JAHRBUCHER FUR NATIONALOKONOMIE UND STATISTIK, 2008, 228 (2-3): : 173 - 194
  • [10] Cooperative multi-agent transport based on coevolution
    Yang, DY
    Tang, Q
    Fang, LP
    Zhou, X
    Jiang, JP
    SICE 2004 ANNUAL CONFERENCE, VOLS 1-3, 2004, : 1301 - 1304
12345