Traffic Control Scheme for Social Optimum Traffic Assignment with Dynamic Route Pricing for Automated Vehicles

In transportation modeling, after defining a road network and its origin-destination (OD) matrix, the next important question is how to assign traffic among OD-pairs. Nowadays, advanced traveler information systems (ATIS) make it possible realize user equilibrium solution. Simultaneously, with advent of Cooperative Intelligent Transport Systems (C-ITS), solve assignment problem in system optimum way. As potential method future for automated cars, deterministic (DSO) modeled simulated investigate changes may bring existing traditional system. this paper, stochastic (SUE) used simulate conventional method. This work concluded that DSO has considerable advantages reducing trip duration, time loss, waiting time, departure delay under same travel demand. What more, SUE more dispersed vehicle density distribution. Moreover, helps maximum each alternative path arrive almost simultaneously. Furthermore, can significantly reduce or avoid occurrence excessive congestion.