Zobrazeno 1 - 10 of 76 pro vyhledávání: '"Andy H.F. Chow"'
3
Vehicle Re-identification for Lane-level Travel Time Estimations on Congested Urban Road Networks Using Video Images
Autor: Andy H.F. Chow, William H. K. Lam, Cheng Zhang, Wei Ma, S.C. Wong, Xiaomeng Shi, Bi Yu Chen, H.W. Ho, Xiaoguang Yang
Publikováno v: IEEE Transactions on Intelligent Transportation Systems. 23:12877-12893
The provision of lane-level travel time information can enable accurate traffic control and route guidance in urban roads with distinctive traffic conditions among lanes. However, few studies in the literature have been conducted to estimate lane-lev
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5a3a4d18e194f1f17f9d2c216bf750d0
https://doi.org/10.1109/tits.2021.3118206
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5
Adaptive Metro Service Schedule and Train Composition With a Proximal Policy Optimization Approach Based on Deep Reinforcement Learning
Autor: Andy H.F. Chow, Cheng-shuo Ying, Kwai-Sang Chin, Yihui Wang
Publikováno v: IEEE Transactions on Intelligent Transportation Systems. 23:6895-6906
This paper presents an integrated metro service scheduling and train unit deployment with a proximal policy optimization approach based on the deep reinforcement learning framework. The optimization problem is formulated as a Markov decision process
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c298d6c910badc58f25917e46d91c930
https://doi.org/10.1109/tits.2021.3063399
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7
Calibration of stochastic link-based fundamental diagram with explicit consideration of speed heterogeneity
Autor: Pengpeng Xu, Andy H.F. Chow, Lu Bai, Sam Chiu-wai Wong, William H. K. Lam
Publikováno v: Transportation Research Part B: Methodological. 150:524-539
This study aims to establish a stochastic link-based fundamental diagram (FD) with explicit consideration of two available sources of uncertainty: speed heterogeneity, indicated by the speed variance within an interval, and rainfall intensity. A stoc
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::89f473f007859bd4f13bc4543df6bff8
https://doi.org/10.1016/j.trb.2021.06.021
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8
Empirical Assessment and Modeling of Traffic-induced Air Pollution
Autor: Zhongyang Lu, Haydn Kwok, Jacky Leung, Sammy Cheung, Andy H.F. Chow
Publikováno v: Transportation Research Record: Journal of the Transportation Research Board. 2675:1043-1053
Congestion and traffic-induced air pollution are associated with population growth and economic development. Compared with congestion, there are relatively few studies on modeling and assessment of traffic-induced pollution. This paper presents an em
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f17e2011cc7223ac881827e3292804d0
https://doi.org/10.1177/03611981211023769
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10
An actor-critic deep reinforcement learning approach for metro train scheduling with rolling stock circulation under stochastic demand
Autor: Kwai-Sang Chin, Cheng-shuo Ying, Andy H.F. Chow
Publikováno v: Transportation Research Part B: Methodological. 140:210-235
This paper presents a novel actor-critic deep reinforcement learning approach for metro train scheduling with circulation of limited rolling stock. The scheduling problem is modeled as a Markov decision process driven by stochastic passenger demand.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e3dca8d798dcc1d25d8a7dc08c84efc0
https://doi.org/10.1016/j.trb.2020.08.005
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