Improving Cyclists’ Safety Using Intelligent Situational Awareness System

Amirhossein Nourbakhshrezaei, Mojgan Jadidi () and Gunho Sohn
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Amirhossein Nourbakhshrezaei: Geomatics Engineering, Lassonde School of Engineering, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada
Mojgan Jadidi: Geomatics Engineering, Lassonde School of Engineering, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada
Gunho Sohn: Geomatics Engineering, Lassonde School of Engineering, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada

Sustainability, 2023, vol. 15, issue 4, 1-17

Abstract: According to the World Health Organization (WHO), over 1.35 million people died in road traffic-related accidents worldwide in 2020 of which 41,000 are related to the cyclists. Bike safety is one of the most serious issues facing urban riders. According to Statistics Canada, this number represents 1654 cyclist deaths in Canada, an average of 74 deaths each year from 2006 to 2017. Cyclists are a critical component in traffic collisions, where they face a greater risk of serious injury or death. As a result, they are classified as vulnerable road users. To avoid this, the need for intelligent transportation systems (ITSs) that increase susceptible cyclists’ awareness of their surroundings is becoming apparent. As a result, we proposed a situational awareness system as part of ITS to enhance bike safety through the employment of three layers of applications: (1) the users tier (mobile application), (2) the virtual private server (VPS) and processing system, and (3) the database management system (DMS). These decision support systems (DSSs) improve vulnerable road users’ situational awareness by identifying high-risk regions for cyclists or motorcyclists using static and dynamic data and then notifying vulnerable road users. The suggested situational awareness system collects and integrates incoming data, prioritizes criteria, and notifies users based on a static hot-spot map produced from accident locations and dynamic data, such as traffic flow, weather conditions, and the user’s speed. The developed work made use of both single threading (for requests from less than 1000 users) and multi-threading (for requests from more than 1000 users), resulting in a highly scalable system based on an open source platform for higher numbers of requests.

Keywords: situational awareness system; road safety; cyclist’s safety; spatial awareness; ITS; fuzzy analytic hierarchy process (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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