@inproceedings{90a77ab805144925851d10e26640e21c,
title = "CycleSafe: safe route planning for urban cyclists",
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.",
keywords = "Cloud services, Mobile computing, Traffic data fusion and analytics",
author = "Mehdi Shah and Tianqi Liu and Sahil Chauhan and Lianyong Qi and Xuyun Zhang",
year = "2020",
doi = "10.1007/978-3-030-48513-9_26",
language = "English",
isbn = "9783030485122",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer, Springer Nature",
pages = "312--327",
editor = "Xuyun Zhang and Guanfeng Liu and Meikang Qiu and Wei Xiang and Tao Huang",
booktitle = "Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications",
address = "United States",
note = "9th EAI International Conference on Cloud Computing, CloudComp 2019 and the 4th EAI International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2019 ; Conference date: 21-12-2019 Through 22-12-2019",
}