The Double Lanes Cell Transmission Model of Mixed Traffic Flow in Urban Intelligent Network

The connected and autonomous vehicle (CAV) is promised to ease congestion in the future with rapid development of related technologies recent years. To explore characteristics mixed-traffic flow dynamic transmission mechanism, this paper firstly detailed car-following model different types, establishing fundamental diagram through considering penetration rates fleet size CAV. Secondly, constructed lane-changing judgment mechanism based on random utility theory. Finally, proposed a lane-level cell process, combined strategy model. effectiveness feasibility are verified using simulation analysis. This makes systematic, theoretical analysis from perspective internal operation traffic flow, provides basis for balancing urban lane distribution intelligent management control.