Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications. 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019

Research Article

CycleSafe: Safe Route Planning for Urban Cyclists

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  • @INPROCEEDINGS{10.1007/978-3-030-48513-9_26,
        author={Mehdi Shah and Tianqi Liu and Sahil Chauhan and Lianyong Qi and Xuyun Zhang},
        title={CycleSafe: Safe Route Planning for Urban Cyclists},
        proceedings={Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications. 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019},
        proceedings_a={CLOUDCOMP},
        year={2020},
        month={6},
        keywords={Traffic data fusion and analytics Mobile computing Cloud services},
        doi={10.1007/978-3-030-48513-9_26}
    }
    
  • Mehdi Shah
    Tianqi Liu
    Sahil Chauhan
    Lianyong Qi
    Xuyun Zhang
    Year: 2020
    CycleSafe: Safe Route Planning for Urban Cyclists
    CLOUDCOMP
    Springer
    DOI: 10.1007/978-3-030-48513-9_26
Mehdi Shah1,*, Tianqi Liu2,*, Sahil Chauhan1,*, Lianyong Qi3,*, Xuyun Zhang1,*
  • 1: University of Auckland
  • 2: Northeastern University
  • 3: Qufu Normal University
*Contact email: msha563@aucklanduni.ac.nz, liu.tianq@husky.neu.edu, scha676@aucklanduni.ac.nz, liangyongqi@gmail.com, xuyun.zhang@auckland.ac.nz

Abstract

Cyclist numbers in major cities are constantly increasing whilst traffic conditions continue to worsen. This poses a major issue for cyclists who attempt to share congested roads with motor vehicles. This paper shows that there is not enough work being done to improve the safety of cyclists on the road, and proposes a solution to this problem in the form of a route planning application. Current cyclist route planning applications do not take safety factors like traffic, rain or visibility into account when providing cycle routes. We use Auckland city as a case study to explore our solution. The traffic and weather data in Auckland are acquired by using Google, Bing and Wunderground APIs. An evaluation of our solution shows that our system successfully implements a route planning application that routes users away from unsafe traffic conditions, thus improving cyclist safety.