An Improved Intelligent Driver Model Considering the Information of Multiple Front and Rear Vehicles

This paper proposes an improved intelligent driver model (IDM) by considering the information of multiple front and rear vehicles to describe car-following behaviour CAVs (Connected autonomous vehicles). The involves velocity acceleration as well difference headway between host vehicle its surrounding vehicles. By introducing location-related parameters, quantitatively expresses change in influence degree a with location vehicle. To maximize traffic stability, we obtain optimal value parameters effect specific time delays on stability flow numerical simulation. results indicate that for single control, proposed provides much quicker smoother deceleration process desired speed than IDM multi-front IDM. And fleet is superior other two models decreasing starting braking increasing acceleration. With effective it helpful improve operation efficiency enhance flow. In addition can be utilized control case CAVs’ homogeneous also serve tool simulate behaviour, which beneficial road management infrastructure layout connected environments.