论文信息 - Special issue on methodological advancements in understanding and managing urban traffic congestion - 字舞流文

Special issue on methodological advancements in understanding and managing urban traffic congestion

Andy H.F. Chow | Zhengbing He | Renxin Zhong | Victor Knoop | Zhengbing He | V. Knoop | A. Chow | R. Zhong

[1] Xiaolei Ma,et al. Modeling travel time volatility using copula-based Monte Carlo simulation method for probabilistic traffic prediction , 2019, Transportmetrica A: Transport Science.

[2] Yi Lin,et al. Real-time traffic incident detection based on a hybrid deep learning model , 2020, Transportmetrica A: Transport Science.

[3] Liping Fu,et al. Credit- and permit-based travel demand management state-of-the-art methodological advances , 2019, Transportmetrica A: Transport Science.

[4] Guowei Zhang,et al. A stochastic programming approach for heterogeneous variable message sign location problem for freeway networks , 2020, Transportmetrica A: Transport Science.

[5] Dianhai Wang,et al. Nonnegative tensor decomposition for urban mobility analysis and applications with mobile phone data , 2019, Transportmetrica A: Transport Science.

[6] Yu Bai,et al. Cooperative weaving for connected and automated vehicles to reduce traffic oscillation , 2019, Transportmetrica A: Transport Science.

[7] Ruihua Xu,et al. Fare incentive strategies for managing peak-hour congestion in urban rail transit networks , 2020, Transportmetrica A: Transport Science.

[8] Zhongsheng Hou,et al. Two-level hierarchical optimal control for urban traffic networks , 2020, Transportmetrica A: Transport Science.