Proposal of the driving environment information sharing system using the probe bicycle

Bicyclists on crowded roads are influenced by the surrounding street situation. If they could get such information, they might be able to choose a safer, more relaxing cycling route. In this paper, we propose a web application system that shares driving environment information. Our system uses both the cycling speed measured by a photoelectric sensor, and the rudder angle of the handlebars measured by a rotary encoder to estimate a road's crowdedness. Through experimental cycling, we clarified the relationship among the sensing data and avoidance behaviors and derived a formula to measure the crowdedness of roads by multiple regression analysis.