01630609

Component

The use of heavy duty vehicles (HDVs) for the movement of goods is one of the most important economic activities. The risk of fatal accidents involving HDVs is 2.4 times higher than that involving only light vehicles. Meanwhile, there are five times more accidents on roadway curves than on straight roadways. An advanced curve-speed warning system (CSWS) using smartphones has been developed and tested using a field experiment in moving vehicles to improve the safety of HDVs. In this system, curve-speed warning models are used to assess vehicle safety. A vehicle dynamics model with an aerodynamic draft effect is established by considering rollover and sideslip that are used to evaluate safety status of the HDVs on roadway curves. The built-in curve radius calculating algorithm adequately calculates the radius of curves in front of the vehicles. A field evaluation of the system shows that the system can obtain digital maps, vehicle speed, vehicle center of gravity (CG) height and curve radius information in a dynamic, real-time interface using smartphones. Compared with the same scenario without the warning system, the vehicular lateral acceleration significantly decreases when the vehicle travels on a dangerous curve using the warning system.

This paper was sponsored by TRB committee AHB15 Standing Committee on Intelligent Transportation Systems.

01618707

17-03245

English

17p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References; Tables

Driver support systems; Highway curves; Mathematical models; Motor vehicle dynamics; Radius; Smartphones; Trucks; Warning systems

Freight Transportation; Safety and Human Factors

Transportation Research Board Annual Meeting 2017 Paper #17-03245

TRIS, TRB, ATRI

Dec 8 2016 11:13AM