A car-following model with real-time road conditions and numerical tests

In this paper, we use empirical data to calibrate the speed-headway function and propose a car-following model to investigate the effects of real-time road condition on each vehicle's speed, acceleration, headway, fuel consumption, CO, HC and NO_X under uniform flow. Numerical results illustrate that real-time road condition produces oscillating phenomena and enhance each vehicle's fuel consumption and exhaust emissions. These results can help researchers understand the effects of real-time road condition on the driving behavior and help traffic engineers construct the theory of homogeneous roads in order to reduce the vehicle's fuel consumption and exhaust emissions.