Title
Modeling Cycling Behavior to Improve Bicyclists' Safety at Intersections - A Networking Perspective
Abstract
Road traffic is continuously increasing worldwide and Vulnerable Road Users (VRUs)such as bicyclists are ever more susceptible to injuries from crashes. Vehicular Ad-hoc Network (VANET)technologies in combination with Advanced Driver Assistance Systems (ADAS)are currently being evaluated to enhance road traffic safety. The same technology is now also considered for warning cyclists about imminent crashes. Prototypes for such VANET -enabled bicycles already exist, however, the primary problem here is verification and test due to immediate safety concerns for the participants. Computer simulation is considered a more feasible alternative; however, realistic behavior models of VRUs are not available in the required quality and quantity. We developed a virtual cycling environment to address this issue, allowing to study and record cyclists' behavior. We collected (and make available)traces from a variety of subjects cycling towards an intersection for three different safety critical scenarios. As proof of concept, we then used these traces in our vehicular networking simulation framework to assess the impact of a simple VANET solution on the cyclists' safety. Our results demonstrate the need for such an integrated framework for empirical studies as well as for simulation-based exploration of system configurations.
Year
DOI
Venue
2019
10.1109/WoWMoM.2019.8793008
2019 IEEE 20th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)
Keywords
DocType
ISBN
networking perspective,VRUs,injuries,ADAS,road traffic safety,realistic behavior models,virtual cycling environment,cyclists,vehicular networking simulation framework,simulation-based exploration,system configurations,vulnerable road users,advanced driver assistance systems,safety critical scenarios,VANET,cycling behavior modeling,bicyclists safety,vehicular ad-hoc network technologies,worldwide road users
Conference
978-1-7281-0271-9
Citations 
PageRank 
References 
1
0.43
6
Authors
9