Author(s)

H. Zhang, J. Q. Sun, Q. J. Hui & J. Guo

Abstract

Because of severe traffic jams and congestion, nowadays every country applies modern science and technology to solve these problems. This paper will utilize the real-time traffic volume data, the relationship between traffic volume and travel time and the incremental-load short-distance optimization algorithm to research the vehicle route optimization technique of Centrally Dynamic Route Guidance Systems which is one branch of Urban Traffic Flow Guidance Systems (UTFGS, the core of Intelligent Transportation Systems). Keywords: ITS, UTFGS, CDRGS, traffic flow information, incremental-load short-distance optimization. 1 Introduction Nowadays, the ever-fast progress of the world’s economy stimulates the traffic requirement. Because of the continued increase in traffic volume and the limited construction of highway facilities in urban, intercity and rural areas, transportation has become the ‘bottleneck’ of modern cities where severe traffic congestion occurs frequently. To some degree it restricts people from going out. For example, in the USA the loss caused by traffic congestion and delay is estimated to be more than 100 billions US dollars [1, 2, 12]. If these problems are not solved, they will continue to be an obstacle to the progress of the whole of society. In order to improve the management of urban traffic, many countries, including China, apply modern science and technologies, including network

Keywords

ITS, UTFGS, CDRGS, traffic flow information, incremental-load short-distance optimization.