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Urban night bus routes planning with taxi traces

  • Yang Ling
  • , Jia Zong-Fu
  • , Jiang Shou-Xu
  • , Ren Xiang-Min
  • , Zhang Fu-Sheng
  • Harbin University
  • School of Computer Science and Technology, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Bus transportation system is out of service at late night, which brings a lot inconvenience to the people traveling at night. To plan Urban night bus routes system, we should know the flow of people travel at night. We can use the taxi GPS data to plan the night bus routes system, because taxi is the main transportation at night. The night bus routes planning method that we described in this paper considers many aspects, such as the number of night bus routes, operating cost, and the capacity of the night bus transportation system. Though we want the capacity of the bus system to be more, it will bring more cost. If we just consider the capacity of the bus system, it may cause some waste. To trade off all aspects, we propose a multiply aspects night bus routes planning method to solve the problem. It is verified that our proposed method outperforms the Top-K approach in the planning of best multiply aspects trade-off bus routes.

Original languageEnglish
Title of host publicationICCSE 2017 - 12th International Conference on Computer Science and Education
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages375-379
Number of pages5
ISBN (Electronic)9781509025084
DOIs
StatePublished - 26 Oct 2017
Externally publishedYes
Event12th International Conference on Computer Science and Education, ICCSE 2017 - Houston, United States
Duration: 22 Aug 201725 Aug 2017

Publication series

NameICCSE 2017 - 12th International Conference on Computer Science and Education

Conference

Conference12th International Conference on Computer Science and Education, ICCSE 2017
Country/TerritoryUnited States
CityHouston
Period22/08/1725/08/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • bus route planning
  • multi-sources route generation
  • single-source route generation
  • taxi traces

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