Presentation 2013-07-04
Evaluation on Traffic Information Providing Methods based on Drivers' Route Choice Behaviors
Jun TAKAHASHI, Ryo KANAMORI, Takayuki ITO,
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Abstract(in English) In recent years, traffic control system based on information gathered from probe vehicles is processing for the purpose of smoothly traffic flow and reduction the lost time of traffic congestion. The information including travel time and position are gathered at real-time and accumulated. In this paper, we propose and evaluate a novel information with anticipatory stigmergy which shares the position in near-future. Moreover we discuss assignment strategies with anticipatory stigmergy. Assignment Strategy reflects uncertain adoption of route considering driver's route choice which followed yesterday's route or short-sighted traffic condition. The strategy based on anticipatory stigmergy is more effective on those currently in use at the total travel time using basic test network.
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Keyword(in English) Traffic Simulation / Stigmergy / Anticipatory Stigmergy / Route Information Providing Method
Paper # AI2013-8
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Committee AI
Conference Date 2013/6/27(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Evaluation on Traffic Information Providing Methods based on Drivers' Route Choice Behaviors
Sub Title (in English)
Keyword(1) Traffic Simulation
Keyword(2) Stigmergy
Keyword(3) Anticipatory Stigmergy
Keyword(4) Route Information Providing Method
1st Author's Name Jun TAKAHASHI
1st Author's Affiliation School of Techno-Business Administration, Graduate School of Engineering, Nagoya Institute of Technology()
2nd Author's Name Ryo KANAMORI
2nd Author's Affiliation Nagoya Institute of Technology, Center for Green Computing
3rd Author's Name Takayuki ITO
3rd Author's Affiliation School of Techno-Business Administration, Graduate School of Engineering, Nagoya Institute of Technology:Nagoya Institute of Technology, Center for Green Computing
Date 2013-07-04
Paper # AI2013-8
Volume (vol) vol.113
Number (no) 113
Page pp.pp.-
#Pages 6
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