Mining commuting behavior of urban rail transit network by using association rules-Reference-Cited by-同舟云学术

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Mining commuting behavior of urban rail transit network by using association rules

Published:2020-12 Issue: Volume:559 Page:125094
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Guo Xin,Wang David Z.W.,Wu Jianjun,Sun Huijun,Zhou Li

Funder

National Natural Science Foundation of China

Beijing Intelligent Logistics System Collaborative Innovation Center, China

Singapore Ministry of Education Academic Research Fund Tier 2

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference39 articles.

1. Bi-objective programming approach for solving the metro timetable optimization problem with dwell time uncertainty;Yang;Transp. Res. E,2017

2. Multiperiod-based timetable optimization for metro transit networks;Guo;Transp. Res. B,2017

3. Creating bus timetables with maximal synchronization;Ceder;Transp. Res. A,2001

4. Optimizing timetable synchronization for tail mass transit;Wong;Transp. Sci.,2008

5. Optimal coordination of public-transit vehicles using operational tactics examined by simulation;Hadas;Transp. Res. C,2010

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