Presentation 2003/1/22
Train Traffic Rescheduling Algorithm which minimizes Passengers' Dissatisfaction
Norio TOMII, Yoshiaki TASHIRO, Noriyuki TANABE, Chikara HIRAI, Kunimitsu MURAKI,
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Abstract(in English) Although computer systems which assist human experts in rescheduling disrupted train traffic is being practically employed recently, they are not so helpful in decreasing the workload of human experts, because they are lacking in intelligence such as to automatically make rescheduling plans. Unlike conventional works, we propose to use passengers' dissatisfaction as a criterion of rescheduling. Files of passengers' dissatisfaction are prepared beforehand considering the situations when disruptions would occur. We regard train traffic rescheduling as a combinatorial optimization problem in which dissatisfaction of passengers should be minimized and introduce an algorithm using meta-heuristics. We also show some experimental results of the algorithm using actual train schedule data.
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Keyword(in English) Train traffic rescheduling / Meta-heuristics / Simulated annealing / Train timetable / Railways
Paper # AI2002-29
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Committee AI
Conference Date 2003/1/22(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) Train Traffic Rescheduling Algorithm which minimizes Passengers' Dissatisfaction
Sub Title (in English)
Keyword(1) Train traffic rescheduling
Keyword(2) Meta-heuristics
Keyword(3) Simulated annealing
Keyword(4) Train timetable
Keyword(5) Railways
1st Author's Name Norio TOMII
1st Author's Affiliation Railway Technical Research Institute()
2nd Author's Name Yoshiaki TASHIRO
2nd Author's Affiliation Railway Technical Research Institute
3rd Author's Name Noriyuki TANABE
3rd Author's Affiliation Railway Technical Research Institute
4th Author's Name Chikara HIRAI
4th Author's Affiliation Railway Technical Research Institute
5th Author's Name Kunimitsu MURAKI
5th Author's Affiliation New Media Souken Co.Ltd.
Date 2003/1/22
Paper # AI2002-29
Volume (vol) vol.102
Number (no) 613
Page pp.pp.-
#Pages 6
Date of Issue