Anticipatory traffic forecast using multi-agent techniques

被引：0

作者：

Wahle, J ^{[1
]}

Bazzan, ALC ^{[1
]}

Klügl, F ^{[1
]}

Schreckenberg, M ^{[1
]}

机构：

[1] Univ Duisburg Gesamthsch, D-4100 Duisburg, Germany

来源：

TRAFFIC AND GRANULAR FLOW'99: SOCIAL, TRAFFIC, AND GRANULAR DYNAMICS | 2000年

关键词：

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this contribution, intelligent transportation systems (ITS) and their impact on traffic systems are discussed. Although traffic forecast offers the possibility to rearrange the temporal distribution of traffic patterns, it suffers from a fundamental problem because the reaction of the driver to the forecast is a priori unknown. On the other hand the behaviour of drivers can have a serious impact on the quality of a traffic forecast since it can result in a feedback - an anticipatory forecast is needed. To include such effects we propose a two-layered agent architecture for modelling drivers' behaviour in more detail. The layers distinguish different tasks of road users.

引用

页码：87 / 92

页数：6

共 12 条

[1] Toward the design of intelligent traveler information systems
Adler, JL
Blue, VJ
[J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 1998, 6 (03) : 157 - 172
[2] ARTHUR WB, 1994, AM ECON REV, V84, P406
[3] Barfield W, 1998, HUMAN FACTORS INTELL, DOI DOI 10.4324/9781315806624
[4] BAZZAN ALC, 1999, LNAI, V1701
[5] BAZZAN ALC, IN PRESS P 4 INT C M
[6] Bottom J, 1999, TRANSPORTATION AND TRAFFIC THEORY, P577
[7] Emergence of cooperation and organization in an evolutionary game
Challet, D
Zhang, YC
[J]. PHYSICA A, 1997, 246 (3-4): : 407 - 418
[8] GORR H, 1996, LOGIK INDIVIDUELLEN
[9] *ITS INT, 1999, P 6 WORLD C INT TRAN
[10] KLUGL F, 1998, SIMULATION WISSENSBA

← 1 2 →