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Re-Planning of Bus Timetable Based on Route Search Log to Get on Now

Authors:
Toshihiko Sasama
Bhattacherjee Rupali
Takao Kawamura
Kazunori Sugahara

Keywords: Busnet, route search, log analysis, optimization, genetic algorithm

Abstract:
There are many web services developed for public transport recently. We developed the "Busnet" in 2006, which is a path planning system for route buses and trains in Tottori prefecture, Japan. This system search includes about 8,500 bus stops and stations and about 1,000 route search query per day. These route searches of recent years shows that people used the Busnet for searching "Now". As smartphone users increased, make plan for tomorrows is in a minority, and route search results have a lot of waiting time for riding because the number of bus is small. Then we get the direct data of waiting time from this search log. In this paper, for reducing these waiting times, we consider the possibility to propose a plan to remake bus timetable that mean to shift departure time of each bus, from analysis of this daily route search log. As a result, to shift median value of each bus’s waiting times reduced average of waiting times by 5 minutes, otherwise, results in some conditions using Genetic Algorithm (GA) are reduced or increased by few minutes.

Pages: 196 to 197

Copyright: Copyright (c) IARIA, 2019

Publication date: November 24, 2019

Published in: conference

ISSN: 2308-4235

ISBN: 978-1-61208-752-8

Location: Valencia, Spain

Dates: from November 24, 2019 to November 28, 2019