Green Routing Plan for University Shuttle Services Using Mixed Integer Linear Programming

Selin Hulagu, Gulfem Atasavar, Hilmi Berk Celikoglu

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

4 Citations (Scopus)

Abstract

The motivation to increase the life quality of humans by transport has necessitated a trade-off between mobility and environmental-health with the discovery of stream engines that consume fossil fuels such gasoline and diesel. Greening the road transportation that accounts for 95% of sectoral emissions, is a vital challenge in order to reduce greenhouse gasses' emissions and air pollution as well to improve public health and comfort given that road transportation directly affects urban areas. In the present paper, we consider a university campus that experiences severe congestion due to being located in the middle of a skyscraper area in metropolitan city of Istanbul. We propose a Mixed Integer Linear Programming formulation in order to find an optimal routing plan for a university E-shuttle service considering a number of characteristics including driving ranges, distances and time limits, and bus stop nodes. Our exact cost optimal solution composed of vehicle purchasing and distance costs resulted in a single vehicle to be assigned where all the bus stop nodes are visited in a complete tour. Considering the strategy of the university towards a zero emission campus area, our solution helps to save considerable amount of CO2 exhaust compared with the current shuttle plan.

Original languageEnglish
Title of host publication5th International Forum on Research and Technologies for Society and Industry
Subtitle of host publicationInnovation to Shape the Future, RTSI 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages471-476
Number of pages6
ISBN (Electronic)9781728138152
DOIs
Publication statusPublished - Sept 2019
Event5th International Forum on Research and Technologies for Society and Industry, RTSI 2019 - Firenze, Italy
Duration: 9 Sept 201912 Sept 2019

Publication series

Name5th International Forum on Research and Technologies for Society and Industry: Innovation to Shape the Future, RTSI 2019 - Proceedings

Conference

Conference5th International Forum on Research and Technologies for Society and Industry, RTSI 2019
Country/TerritoryItaly
CityFirenze
Period9/09/1912/09/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • electric vehicle routing
  • optimization
  • smart mobility

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