Xiu-cheng Guo

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A self-organizing feature map (SOM) was used to represent vehicle-following and to analyze the heterogeneities in vehicle-following behavior. The SOM was constructed in such a way that the prototype vectors represented vehicle-following stimuli (the follower's velocity, relative velocity, and gap) while the output signals represented the response (the(More)
The high frequency of red-light running and complex driving behaviors at the yellow onset at intersections cannot be explained solely by the dilemma zone and vehicle kinematics. In this paper, the author presented a red-light running prevention system which was based on artificial neural networks (ANNs) to approximate the complex driver behaviors during(More)
Regarding the characteristics of uncertainty on the relationship between design factors of first class highways and traffic safety, the unascertained measure model of the safety evaluation for the design of first class highways is established on the basis of unascertained measure space. Through unascertained measure of single indicator, calculation of(More)
More and more towns in the states have installed central traffic managing software (ATMS). ATMS can not only enable traffic engineers to remotely access controllers but also enable them to collect more data than ever. How to better utilize these data to improve the performance of traffic signals has been a topic receiving wide interest in the signal(More)
Ways to estimate the time-to-collision are explored. In the context of traffic simulation models, classical lane-based notions of vehicle location are relaxed and new, fast, and efficient algorithms are examined. With trajectory conflicts being the main focus, computational procedures are explored which use a two-dimensional coordinate system to track the(More)
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