A novel rollover warning method for ground vehicles based on smartphone built in GIS/GPS

Abstract

In recent years, it has been shown that damages of casualties and property losses caused by vehicle rollover accidents are severe. Vehicle rollovers can easily cause secondary accidents such as chain collisions on freeways. Ground vehicles with relatively higher center of gravity on sharp curves are prone to rollover accidents. Therefore, it is of vital significance to design a rollover warning system for this type of vehicles. After summarizing current research achievements about vehicle rollover warning methods, the paper presents a novel rollover warning method for ground vehicles based on GIS/GPS. It firstly elaborates the method for road curve identification and curve radius estimation. Then, a curve speed model is built based on vehicle dynamics and road environment conditions. Lastly, it presents the architecture and field test verification of the rollover warning system. The main contributions of this paper are organized as follows: 1) Curve speed model is built by analyzing the correlation between the front wheel angle and the curve radius. Moreover, rollover limiting condition is analyzed based on vehicle roll dynamics modeling; 2) Curve road recognition based on GIS/GPS using smartphone platform. It presents a curve recognition algorithm based on acquiring road and vehicle parameters such as curve entry, driving direction and vehicle lateral acceleration; 3) Curve radius estimation based on road curve fitting and radius calculation. After obtaining location of each circular section on the curve through the digital map, the center of each circular section is determined and then the average radius of the curve is calculated.