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随着城市机动车保有量的飞速增长，油气资源的短缺问题日益严重，如何采取有效措施减少能源消耗是一个值得深入研究的问题。用双层规划思想建立先进出行者信息系统和油耗的最优速度确定的优化模型。在此模型中，上层规划是通过系统总出行时间和油耗总量确定最优速度的问题，下层问题是在一定速度条件下考虑先进出行者信息系统影响的出行道路选择行为，构造了弹性需求条件下的随机用户平衡配流模型，并给出了一个平衡迭代算法进行求解。最后用了一个简单的算例，对模型的求解算法进行了验证。研究结果显示，随着出行者对道路实际情况认识程度的降低，可以通过提高装备ATIS设备的出行者比率，使得出行者能够合理地进行路径选择，从而降低系统总费用。

Optimization Programming Model for Optimal Velocity Problems with ATIS and Fuel Consumption

With the rapid growth of automobile volume, the shortage of oil and gas resources is becoming increasingly serious. It is worthy to search effective measures to reduce the energy consumption. A bi-level programming model is proposed to describe the optimization programming problem for the optimal velocity with advanced traveler information systems (ATIS) and fuel consumption. The upper level programming is to determine optimal vehicle velocity by minimizing the system travel cost and total gas consumption, while the lower one is an equilibrium problem by integrating the elastic demand and stochastic user equilibrium. An equilibrium iterative solution algorithm is also presented. Finally, a simple numerical example is given to illustrate the applications of the model. The results show that, with the decrease of awareness, the number of the drivers equipped with ATIS is increased, while the total cost of the system can be reduced.