基于需求心理信息与物理建模相融合的城市道路智能交通综合仿真系统研究

Transportation simulation system can provide various types of traffic control strategies with a prior test and evaluation platform, which has become an important and indispensable tool for studying traffic control method, and has been widely used in engineering practice. However, with the continuous progress of the computer technologies in recent years, as well as the continuous improvement of the requirements of traffic management and control systems on the comprehensiveness, accuracy and real-time performance of the transportation program evaluation, the limitation that the current transportation simulation technologies focus more on modeling in the physical network layer, and less consider the impact of travelers'demand and psychology information on the road-network traffic, is increasingly obvious. This program, aiming to the shortcomings of current transportation simulation technologies and methods, treat the people, vehicles, roads, and the environment in the transportation system as a whole to construct the structural framework of artificial transportation system, on basis of the structure of general transportation simulation system；in this framework, in addition to the physical modeling of traffic networks, this study increases the modeling of social information and advanced intelligent transportation technologies, such as traffic participants, smart cars, and intelligent traffic management and control strategies, by which the complexity and their internal logics of advanced intelligent transportation systems (ITS) can be modeled more comprehensively from a broader perspective. Finally, a new generation of urban road transportation simulation system, which can reproduce modern ITS functions by a real-time, accurate, and comprehensive manner, can be achieved.

交通仿真系统能够为各类交通管控策略提供事先试验和评估的平台，已经成为研究交通管控方法不可缺少的重要工具，并且在工程实践中得到了广泛应用。然而，随着近年来计算机技术的不断进步，以及交通管控系统对交通方案评估的全面性、准确性和实时性等要求的不断提高，目前交通仿真技术较多关注于对物理路网层进行建模，而较少考虑出行者的需求和心理信息对路网交通的影响这一现状的局限性也日益明显。本课题针对目前交通仿真技术和方法的不足，将交通系统中的人、车、路与环境作为一个整体来考虑，在一般交通仿真系统的结构基础上，建立人工交通系统结构框架；在该框架下，除了对交通路网物理建模以外，增加对交通参与者、智能车、智能交通管控策略等社会信息和先进智能交通技术的建模，从更广阔的角度，对先进的智能交通系统的复杂性及其内部逻辑进行更全面地建模研究；最终，实现能够实时、准确、全面地重现现代智能交通系统功能的新一代城市道路交通仿真系统。

交通仿真系统能够为各类交通管控策略提供事先试验和评估的平台，已经成为研究交通管控方法不可缺少的重要工具，并且在工程实践中得到了广泛应用。然而，随着近 年来计算机技术的不断进步，以及交通管控系统对交通方案评估的全面性、准确性和实时性 等要求的不断提高，目前交通仿真技术较多关注于对物理路网层进行建模，而较少考虑出行者的需求和心理信息对路网交通的影响这一现状的局限性也日益明显。本课题针对目前交通仿真技术和方法的不足，将交通系统中的人、车、路与环境作为一个整体来考虑，在一般交通仿真系统的结构基础上，建立人工交通系统结构框架；在该框架下，除了对交通路网物理建模以外，增加对交通参与者、智能车、智能交通管控策略等社会信息和先进智能交通技术的建模，从更广阔的角度，对先进的智能交通系统的复杂性及其内部逻辑进行更全面地建模研究；最终，实现能够实时、准确、全面地重现现代智能交通系统功能的新一代城市道路交 通仿真系统。