A Study of the Framework on Collision Risk Warning System Using Loop Detector and Vehicle Information

Current safety warning systems generally operate based on the information from sensors attached to individual vehicles. This vehicle sensor-based system can only estimate the collision potential situation in close proximity of a subject vehicle, and it requires additional communication technologies such as Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication technologies in order to obtain a wide range of information. The device requirements for such technologies will lead to the price increase of the collision warning system. So, in this study, we propose the collision warning system that utilizes the information from the fusion of loop detector data and smartphone data. The proposed collision warning system can be directly applied without any additional cost because the databases of loop detector and smartphones are available to be used. The developed system is tested by simulating a real vehicle trip based on the NGSIM data and comparing its results to vehicle-sensor-based system and infrastructure information-based system. It was found that the newly proposed collision risk warning system can show the similar performance with the V2V-based collision warning system.