Advances in Smart Vehicular Technology, Transportation, Communication and Applications

Advances in Smart Vehicular Technology, Transportation, Communication and Applications

Proceedings of VTCA 2021

Ni, Shaoquan; Chu, Shu-Chuan; Wu, Tsu-Yang; Favorskaya, Margarita; Chen, Chi-Hua

Springer Verlag, Singapore

12/2021

423

Dura

Inglês

9789811640384

15 a 20 dias

822

Descrição não disponível.
Data Statistics of Station Transfer Volume Based on Spark Computing Engine.- Deep Learning Short-Time Interval Passenger Flow Prediction Based on Isomap Algorithm.- Prediction of Subway Interchange Passenger Flow Based on Recurrent Neural Network Time Characteristic Model.- Rail Transit Travel Planning Based on K Nearest Neighbor Path Retrieval Algorithm.- Research on Dynamic Passenger Flow Distribution of Rail Transit Based on Multi-dimensional Euclidean Distance.- Research on Interval Passenger Flow Statistics Based on AFC Data.- Research on Regional Rail Transit Based on Logit Model.- Study on Valid Travel Route Selection of Integrated Passenger Transportation.- Loading and Reinforcing Safety Evaluation of Railway Out-of-Gauge Freight Considering the Dynamic Transportation Process.- Design of Rail Freight Products in the Arduous Mountainous Area on the Plateau under the Concept of Modern Logistics.
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Smart Vehicular Technology;Smart Transportation;Smart Vehicular Communication;Vehicular Security;Vehicular Applications;VTCA 2021;VTCA Proceedings