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    Bicycle Ridership Using Crowdsourced Data: Ordered Probit Model Approach 

    Source: Journal of Transportation Engineering, Part A: Systems:;2020:;Volume ( 146 ):;issue: 008
    Author(s): Zijing Lin; Wei “David” Fan
    Publisher: ASCE
    Abstract: Cycling is a healthier and greener travel mode that city planners and policymakers have encouraged for short-distance trips. Because cycling provides an efficient way to improve public health and reduce energy consumption, ...
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    Modeling and Evaluating Public Transit Equity and Accessibility by Integrating General Transit Feed Specification Data: Case Study of the City of Charlotte 

    Source: Journal of Transportation Engineering, Part A: Systems:;2020:;Volume ( 146 ):;issue: 010
    Author(s): Yang Li; Wei “David” Fan
    Publisher: ASCE
    Abstract: This study models and evaluates the accessibility to public transit and public transit equity by integrating the general transit feed specification (GTFS) data. A transit gap index (TGI) and a geographic information system ...
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    Optimizing Transit Equity and Accessibility of the City of Charlotte, North Carolina, by Integrating Transit Gap Index, a General Transit Feed Specification Data-Relevant Performance Metric 

    Source: Journal of Transportation Engineering, Part A: Systems:;2021:;Volume ( 147 ):;issue: 004:;page 04021005-1
    Author(s): Yang Li; Wei “David” Fan
    Publisher: ASCE
    Abstract: Public transit is a critical component of transportation planning. One important task is to optimize the public transit service for people by improving current service or having new investments. Under such circumstances, ...
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    Performance of State-Shared Multiagent Deep Reinforcement Learning Controlled Signal Corridor with Platooning-Based CAVs 

    Source: Journal of Transportation Engineering, Part A: Systems:;2023:;Volume ( 149 ):;issue: 008:;page 04023072-1
    Author(s): Li Song; Wei “David” Fan
    Publisher: ASCE
    Abstract: The emerging technologies of connected and automated vehicles (CAVs) and deep reinforcement learning (DRL) provide innovative methods and have a great potential for developing new solutions to improve the efficiency of ...
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    Applying Travel-Time Reliability Measures in Identifying and Ranking Recurrent Freeway Bottlenecks at the Network Level 

    Source: Journal of Transportation Engineering, Part A: Systems:;2017:;Volume ( 143 ):;issue: 008
    Author(s): Linfeng Gong; Wei (David) Fan
    Publisher: American Society of Civil Engineers
    Abstract: The primary purpose of this study is to develop a systematic approach to effectively identifying and ranking recurrent freeway bottlenecks using travel-time reliability (TTR) measures. To achieve this goal, three subtasks ...
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    Combined Decision Making of Congestion Pricing and Capacity Expansion: Genetic Algorithm Approach 

    Source: Journal of Transportation Engineering, Part A: Systems:;2014:;Volume ( 140 ):;issue: 008
    Author(s): Wei (David) Fan; Zegeye Gurmu
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents a solution methodology that can be used to determine the optimal solution for the combined congestion pricing and capacity expansion problems. A bilevel genetic algorithm (GA)-based optimization solution ...
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    Optimal Variable Speed Limit Control in Connected Autonomous Vehicle Environment for Relieving Freeway Congestion 

    Source: Journal of Transportation Engineering, Part A: Systems:;2019:;Volume ( 145 ):;issue: 004
    Author(s): Miao Yu; Wei “David” Fan
    Publisher: American Society of Civil Engineers
    Abstract: This study presents an optimal variable speed limit (VSL) strategy in a connected autonomous vehicle (CAV) environment for a freeway corridor with multiple bottlenecks. The VSL control was developed by using an extended ...
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    Integrated Approach to Vehicle Scheduling and Bus Timetabling for an Electric Bus Line 

    Source: Journal of Transportation Engineering, Part A: Systems:;2020:;Volume ( 146 ):;issue: 002
    Author(s): Jing Teng; Tong Chen; Wei “David” Fan
    Publisher: ASCE
    Abstract: Timetable and vehicle scheduling are important for transit operations. Electric buses are more environmentally friendly compared with conventional buses, and have been developing rapidly and may replace conventional buses ...
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    Real-Time Passenger Flow Anomaly Detection Considering Typical Time Series Clustered Characteristics at Metro Stations 

    Source: Journal of Transportation Engineering, Part A: Systems:;2020:;Volume ( 146 ):;issue: 004
    Author(s): Jinjing Gu; Zhibin Jiang; Wei “David” Fan; Jiameng Wu; Jingjing Chen
    Publisher: ASCE
    Abstract: Real-time anomaly detection at metro stations is a very important task with considerable implications for massive passenger flow organization and train timetable rescheduling. State-of-the-art studies tend to conduct ...
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    Complete Estimation Approach for Characterizing Passenger Travel Time Distributions at Rail Transit Stations 

    Source: Journal of Transportation Engineering, Part A: Systems:;2020:;Volume ( 146 ):;issue: 007
    Author(s): Wei Zhu; Weili Fan; Jin Wei; Wei “David” Fan
    Publisher: ASCE
    Abstract: Route choice behavior of a rail transit passenger is not directly observable and it may be affected by the route travel time to a large extent. Compared to the on-train time, travel times at stations, including walking ...
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