基于延迟函数次梯度启发式道路交通补偿策略.

This paper considered the congestion pricing to be the effective way to solve the traffic congestion, the main idea of road traffic congestion was to charge for some easy to cause road congestion, and appropriated compensation for other underutilized roads. It presented a subgradient heuristic traffic delay compensation strategy based on function. Firstly, it used a nonlinear programming model in the road toll/subsidies, Beckmann was the main realization based on minimizing the objective function, and used the Kuhn Hills-Lagrange multiplier model to construct the constraint condition. Secondly, the algorithm used the pricing compensation strategy to establish the road traffic model based on heuristic algorithm, and also used the marginal cost model to establish the delay function analysis model. Finally, the simulation experiments on real road networks show that the proposed algorithm has better performance in terms of travel time, traffic flow, convergence and so on, and the effectiveness of the proposed algorithm is verified. [ABSTRACT FROM AUTHOR]