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The spatial clustering of highway traffic is of great interest to researchers and policy makers. In this paper, instead of using the microscopic traffic parameters in the traditional clustering methods, we introduce a new heterogeneity index clustering the sections of a highway based on differences in the content, a.k.a. “Heterogeneity”, in their flow, which can be used as a universal guideline for...
The existing research on analyzing the vulnerability of road networks is largely dependent on the assumption of a known traffic model in the simulations. In this paper, we present a new approach for quantitatively evaluating the vulnerability of highway networks based on real-world highway tollgate data that reflect the highway's characteristics, such as structural betweenness and traffic movements...
The highway toll road system in many countries is incapable of providing the detailed route information of users, and drivers may choose alternative paths rather than the shortest path in the hope of saving the travel cost. Existing ambiguous path identification research is heavily dependent on vehicle detection sensors, and traffic assignment models using simulations. In this paper, we present a...
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