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A novel multidisciplinary system for the automatic driving risk level classification is presented. The data considered involves the three basic traffic safety elements (driver, road, and vehicle), as well as knowledge from traffic experts. The driving experiments were conducted in a truck cabin simulator handled by a professional driver, considering the most common real-world enviroments. Each traffic...
Responding to the Green Transportation requirement for urbanization nowadays, a new set of 3E criteria, which takes into account efficiency, economy and environment effects, to evaluate intersections operational traffic status is proposed first in this paper. Then, we establish an AHP-based evaluation architecture for intersections with multi-level and multi-objective functions, on the basis of the...
To satisfy the needs of a variety of demand-responsive transport, the multimodal transportation problem appeared. This paper focuses on network modeling with a hierarchical structure. The relationship between different levels is described in detail, and dynamic segmentation and linear referencing techniques are used to solve the overlay problem in multimodal network. Furthermore, a shortest path algorithm...
Congestion is one of the most important and complex transportation problems facing the American population. The Texas Transportation Institute reported that delays due to congestion cost up to an average of $63.1 billion per year and 5.7 billion gallons of wasted fuel every year. An important area of interest is Seattle Washington, where, according to the Washington State Department of Transportation,...
Transportation management and planning has played an important role in urban planning. The paper discusses the success of using virtual reality (VR) technique in traffic simulation to communicate design alternatives to decision makers and public audiences and thus to support the decision making process. The study documents the application of VISSIM, a microscopic simulation model, VR4MAX, an interactive...
Variable message signs (VMS) plays an important role in route guidance of drivers and release of traffic congestion. Response to VMS of drivers is acquired in stated preference (SP) investigation. Traffic demand is estimated and analyzed by Gravity and route choice models. Effects of VMS on route choice and traffic delay are simulated through VISSIM software in the case study of Beijing.
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