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Transport analytics in action: a cloud-based decision support system for efficient city bus transportation

  • Muthu Mathirajan
    ,
  • Rajesh Devadas
    ,
  • Ram Ramanathan
Research Output: Contribution to journal Article Peer-review

Open access

Sustainable Development Goals

  • SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Abstract

Optimising city bus transport operations helps conserve fuel by providing the urban transport service as efficiently as possible. This study develops a Cloud-based Decision Support System (C-DSS) for transport analytics. The C-DSS is based on an intelligent model on location of depots for opening new depots and/or closing a few existing depots and allocation of city-buses to depots. The C-DSS is built on the Cloud Computing architecture with three layers and includes an efficient and simple greedy heuristic algorithm. Using modern information and communications technology tools, the proposed C-DSS minimizes the cost of city bus transport operations and in turn to reduce fuel consumption and CO2 emissions in urban passenger transport. The proposed C-DSS is demonstrated for its workability and evaluated for its performance on 25 large scale pseudo data generated based on the observation from Bangalore Metropolitan Transport Corporation (BMTC) in India.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 371-416

Journal (Volume, Issue Number)

Journal of Information and Optimization Sciences (Volume 42, Issue 2)

Publication milestones

  • Accepted/In press - 07/01/2020
  • Published - 05/03/2020

Publication status

Published - 05/03/2020

ISSN

0252-2667

External Publication IDs

  • handle.net: 10547/623888

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