Results 271 to 280 of about 60,036 (348)

Machine Learning in Urban Rail Transit Systems: A Survey

IEEE Transactions on Intelligent Transportation Systems
Urban Rail Transit Systems (URTS) have increasingly become the backbone of modern public transportation, attributed to their unparalleled convenience, high efficiency, and commitment to sustainable green energy. As we witness a global resurgence of urban
Li Zhu, Cheng Chen, Hongwei Wang, F. I. F. Richard Yu, Tao Tang   +4 more
semanticscholar   +3 more sources

Short-term OD flow prediction for urban rail transit control: A multi-graph spatiotemporal fusion approach

Information Fusion
Xue Xing, Bing Wang, Xin Ning, Gang Wang, Prayag Tiwari   +4 more
semanticscholar   +3 more sources

Modeling network vulnerability of urban rail transit under cascading failures: A Coupled Map Lattices approach

Reliability Engineering and System Safety, 2022
Qingfeng Lu, Lei Zhang, Peng Xu, Xin Cui, Jing Li   +4 more
semanticscholar   +3 more sources

Passenger flow forecasting approaches for urban rail transit: a survey

International Journal of General Systems, 2023
Passenger flow forecast is the prerequisite and foundation for urban rail transit planning and operation. With the continuous expansion of rail network scale and the surge of passenger flow, the passenger flow prediction task becomes increasingly ...
Qiuchi Xue, Wei Zhang, Meiling Ding, Xin Yang, Jianjun Wu, Z. Gao   +5 more
semanticscholar   +1 more source

Intrusion Detection and Network Information Security Based on Deep Learning Algorithm in Urban Rail Transit Management System

IEEE transactions on intelligent transportation systems (Print), 2023
The exploration of the intrusion detection effect of urban rail transit management system aims to further improve the safety performance of the traffic field in urban construction. Thus, the deep convolution neural network model AlexNet with more network
Zhongru Wang, Xinzhou Xie, Lei Chen, Shouyou Song, Zhongjie Wang   +4 more
semanticscholar   +1 more source

Assessing Spatial Synergy Between Integrated Urban Rail Transit System and Urban Form: A BULI-Based MCLSGA Model With the Wisdom of Crowds

IEEE transactions on fuzzy systems, 2023
Spatially synergizing the urban rail transit (URT) network integrated with its feeder transit system and the urban form plays an important role in improving the effectiveness of URT in mitigating traffic congestion, reducing air pollution, optimizing ...
Jian-Peng Chang, Zhen-Song Chen, Zhujun Wang, Lesheng Jin, W. Pedrycz, Luis Martínez, M. Skibniewski   +6 more
semanticscholar   +1 more source

A spatiotemporal graph generative adversarial networks for short-term passenger flow prediction in urban rail transit systems

International Journal of General Systems, 2023
Most short-term passenger flow prediction methods only consider absolute errors as the optimization objective, which fails to account for spatial and temporal constraints on the predictions. To overcome these limitations, we propose a deep learning-based
Jinlei Zhang, Hua Li, Shuxin Zhang, Lixing Yang, G. Jin, J. Qi   +5 more
semanticscholar   +1 more source