17 citations · 43 across the 8 of their papers we have counts for
8 papers
Vehicle Dispatching and Routing of On-Demand Intercity Ride-Pooling Services: A Multi-Agent Hierarchical Reinforcement Learning Approach
Jinhua Si, Fang He, Xi Lin +1
The integrated development of city clusters has given rise to an increasing demand for intercity travel. Intercity ride-pooling service exhibits considerable potential in upgrading…
Network-level rhythmic control of heterogeneous automated traffic with buses
Xiangdong Chen, Xi Lin, Meng Li +1
Guaranteeing the quality of transit service is of great importance to promote the attractiveness of buses and alleviate urban traffic issues such as congestion and pollution. Emerg…
Rhythmic Control of Automated Traffic -- Part II: Grid Network Rhythm and Online Routing
Xi Lin, Meng Li, Zuo-jun Max Shen +2
Connected and automated vehicle (CAV) technology is providing urban transportation managers tremendous opportunities for better operation of urban mobility systems. However, there…
Rhythmic Control of Automated Traffic -- Part I: Concept and Properties at Isolated Intersections
Xiangdong Chen, Meng Li, Xi Lin +2
Leveraging the accuracy and consistency of vehicle motion control enabled by the connected and automated vehicle technology, we propose the rhythmic control (RC) scheme that allows…
Simulation Comparisons of Vehicle-based and Phase-based Traffic Control for Autonomous Vehicles at Isolated Intersections
Chen Yang, Xi Lin, Meng Li +1
With the advent of autonomous driving technologies, traffic control at intersections is expected to experience revolutionary changes. Various novel intersection control methods hav…
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach
Ke Zhang, Meng Li, Zhengchao Zhang +2
Multi-vehicle routing problem with soft time windows (MVRPSTW) is an indispensable constituent in urban logistics distribution systems. Over the past decade, numerous methods for M…
Multistep Speed Prediction on Traffic Networks: A Graph Convolutional Sequence-to-Sequence Learning Approach with Attention Mechanism
Zhengchao Zhang, Meng Li, Xi Lin +2
Multistep traffic forecasting on road networks is a crucial task in successful intelligent transportation system applications. To capture the complex non-stationary temporal dynami…
Electrifying the Urban Taxi Fleet: A Data-driven Approach
Yikang Li, Huimiao Chen, Yanni Yang +2
This paper is devoted to proposing a data-driven approach for electrifying the urban taxi fleet. Specifically, based on the gathered real-time vehicle trajectory data of 39053 taxi…