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Xiaolei Ma
Researcher at Beihang University
Publications - 83
Citations - 8640
Xiaolei Ma is an academic researcher from Beihang University. The author has contributed to research in topics: Deep learning & Vehicle routing problem. The author has an hindex of 29, co-authored 83 publications receiving 5977 citations. Previous affiliations of Xiaolei Ma include Chinese Ministry of Public Security & University of Washington.
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Optimizing fleet size and scheduling of feeder transit services considering the influence of bike-sharing systems
TL;DR: This study optimizes the fleet size and schedules of feeder buses that connect metro and residential areas in the context of bike-sharing systems to minimize the average passenger waiting time and maximize the operator profits and can provide useful policy implications and operational recommendations for government agencies and transit authorities to regulate the bike- sharing market.
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A predictive headway-based bus-holding strategy with dynamic control point selection: A cooperative game theory approach
TL;DR: A predictive headway-based bus holding strategy with dynamic control point importance ranking and selection based on the cooperative game theory that satisfies allocation efficiency, individual and coalition rationality and can significantly reduce passenger waiting time and bus headway variation.
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Measuring Signalized Intersection Performance in Real Time with Traffic Sensors
TL;DR: This research proposes an approach for measuring queue length and vehicle control delay at signalized intersections based on traffic count data collected with traffic sensors based on a computerized system called In-PerforM.
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Self-Adaptive Tolling Strategy for Enhanced High-Occupancy Toll Lane Operations
TL;DR: The experiment results demonstrate that the proposed tolling strategy performs reasonably well in improving the overall operations of HOT lane systems under various traffic conditions.
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Optimizing electric bus charging infrastructure considering power matching and seasonality
Xiaohan Liu,Xiaobo Qu,Xiaolei Ma +2 more
TL;DR: In this paper, a novel optimization model for electric bus charging station location, charger configuration, charging time and vehicle flow is developed considering power matching and seasonality, and the results reveal significant performance differences regarding vehicle scheduling and charging among different bus fleets in the BEB-based transit system.