Estimating urban traffic states using iterative refinement and Wardrop equilibria

Weizi Li
Weizi Li
Meilei Jiang
Meilei Jiang
Yaoyu Chen
Yaoyu Chen

IET Intelligent Transport Systems, pp. 875-883, 2018.

Cited by: 8|Bibtex|Views109|DOI:https://doi.org/10.1049/iet-its.2018.0007
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Other Links: academic.microsoft.com

Abstract:

Traffic has become a major problem in metropolitan areas across the world. It is critical to understand the complex interplay of a road network and its traffic states so that researchers and planners can improve the city planning and traffic logistics. The authors propose a novel framework to estimate urban traffic states using GPS traces...More

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