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Wai Yuen Szeto
Researcher at University of Hong Kong
Publications - 199
Citations - 9122
Wai Yuen Szeto is an academic researcher from University of Hong Kong. The author has contributed to research in topics: Network planning and design & Traffic flow. The author has an hindex of 50, co-authored 190 publications receiving 7259 citations. Previous affiliations of Wai Yuen Szeto include National University of Singapore & Hong Kong University of Science and Technology.
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A review of urban transportation network design problems
TL;DR: This review intends to provide a bigger picture of transportation network design problems, allow comparisons of formulation approaches and solution methods of different problems in various classes of UTNDP, and encourage cross-fertilization between the RNDP and PTNDP research.
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An artificial bee colony algorithm for the capacitated vehicle routing problem
TL;DR: In this article, an enhanced version of the artificial bee colony heuristic was proposed to improve the solution quality of the original version, and the performance of the enhanced heuristic is evaluated on two sets of standard benchmark instances.
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A survey of dial-a-ride problems: Literature review and recent developments
Sin C. Ho,Wai Yuen Szeto,Yong-Hong Kuo,Yong-Hong Kuo,Janny M. Y. Leung,Matthew E. H. Petering,Terence W.H. Tou +6 more
TL;DR: This paper surveys the research developments on the Dial-A-Ride Problem (DARP) since 2007, and provides a classification of the problem variants and the solution methodologies, and references to benchmark instances.
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A cell-based variational inequality formulation of the dynamic user optimal assignment problem
Hong Kam Lo,Wai Yuen Szeto +1 more
TL;DR: In this article, a cell-based dynamic traffic assignment formulation that follows the ideal dynamic user optimal (DUO) principle through a variational inequality approach was developed, which is capable of capturing dynamic phenomena, such as shockwaves, queue formation and dissipation.
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Stochastic cell transmission model (SCTM): A stochastic dynamic traffic model for traffic state surveillance and assignment
TL;DR: Both the numerical simulation results and the empirical results confirm that the SCTM is capable of accurately estimating the means and SDs of the freeway densities as compared to the MCS.