Abstract: In this paper, we investigate the best strategy for the Advanced Traveler Information Systems(ATIS)service provider when the information pricing of their service should be decided in bi-modal transportation networks. In a bi-modal transportation network, many factors can influence the market scale of ATIS, and the cost of providing ATIS services are usually related to both the information quality and the market scale. Thus, we treat both information price and information quality as decision variables in a bi-level program, which is composed of a mixed user equilibrium model and a profit model. Afterwards, the numerical analyses are carried out in the bi-modal traffic network of Hongkou district in Shanghai, whose OD trip volumes are calculated by the OD matrix estimation in TransCAD with the link flow we survey. The related economic problems are discussed. Finally, the optimal solution of the bi-level program is obtained by a hybrid algorithm, consisting of the Particle Swarm Optimization(PSO)algorithm and a MSAF algorithm. The model and the algorithm can be used to obtain the best strategy for the ATIS service provider.

Key words: ATIS, information pricing, bi-level program, information quality

摘要： 先进的出行者信息系统(ATIS)是一种服务商品,已有的研究多从提高市场占有率的角度对单模式交通网络中的ATIS进行信息定价。多模式交通网络中影响ATIS市场占有率的因素众多,而且ATIS的提供成本往往与信息质量和使用规模同时相关。因此,信息定价问题应从ATIS服务提供商利润最大化的角度进行研究。本文把ATIS信息的单次使用费用和ATIS的信息质量同时作为决策变量,将双模式路网中ATIS的定价问题描述为一个双层规划模型。其中,混合用户均衡模型为下层模型,收益模型为上层模型。然后,基于上海市虹口区的路网数据,对下层模型进行了数值分析,并讨论了相关经济效益问题。此外,本文提出了求解下层模型的MSAF算法,并进一步嵌套了粒子群(PSO)算法,最终得到ATIS服务提供商的最优ATIS信息定价和信息质量提供方案。

关键词: ATIS, 双层规划模型, 信息定价, 信息质量