Let Trajectories Speak Out the Traffic Bottlenecks

@article{Luo2022LetTS,
  title={Let Trajectories Speak Out the Traffic Bottlenecks},
  author={Hui Luo and Zhifeng Bao and G. Cong and J. Shane Culpepper and Nguyen Lu Dang Khoa},
  journal={ACM Transactions on Intelligent Systems and Technology (TIST)},
  year={2022},
  volume={13},
  pages={1 - 21}
}
  • Hui LuoZ. Bao N. Khoa
  • Published 28 July 2021
  • Computer Science
  • ACM Transactions on Intelligent Systems and Technology (TIST)
Traffic bottlenecks are a set of road segments that have an unacceptable level of traffic caused by a poor balance between road capacity and traffic volume. A huge volume of trajectory data which captures realtime traffic conditions in road networks provides promising new opportunities to identify the traffic bottlenecks. In this paper, we define this problem as trajectory-driven traffic bottleneck identification: Given a road network R, a trajectory database T, find a representative set ofโ€ฆย 

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