Titlebook: Advances in Smart Vehicular Technology, Transportation, Communication and Applications; Proceedings of VTCA Tsu-Yang Wu,Shaoquan Ni,Margar

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Tsu-Yang Wu,Shaoquan Ni,Margarita FavorskayaPresents research works in smart vehicular technology, transportation, communication, and applications.Discusses results of VTCA 2021 held in Chengdu City, China.Serves as a reference for researchers

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Deep Learning Short-Time Interval Passenger Flow Prediction Based on Isomap Algorithmones can not only improve the efficiency of people’s travel but also lay the foundation for future short-time zone passenger flow prediction. The Isomap algorithm is used to represent the high-dimensional data by the low-dimensional method after transformation, and then the low-dimensional data are

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Prediction of Subway Interchange Passenger Flow Based on Recurrent Neural Network Time Characteristiicles, rail transit operation departments have an increasing demand for short-term passenger flow forecasting. Through the analysis of the passenger flow data of Chongqing Metro from October 1, 2018, to October 15, 2018, the GRU neural network is used to analyze the Chongqing Metro stations from Oct

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Research on Dynamic Passenger Flow Distribution of Rail Transit Based on Multi-dimensional Euclideane passenger flow distribution of urban rail transit has an important reference for improving ride comfort and urban rail transit operation management. This paper starts from the historical passenger flow data in and out of the station, uses the original data of the urban rail transit automatic fare

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Study on Valid Travel Route Selection of Integrated Passenger Transportationerefore, it is important to build the integrated transportation network by establishing the cost function of valid travel route to measure the route that passengers may choose. Based on passenger travel demand, an optimization model of valid route selection for integrated transportation network was

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Loading and Reinforcing Safety Evaluation of Railway Out-Of-Gauge Freight Considering the Dynamic Trss, the SIMPACK simulation model is established to collect the dynamic data during the transportation process, and safety factors are summarized into four indexes: wagon derail coefficient, wagon capsize coefficient, freight slip coefficient and freight capsize coefficient. On this basis, combine wi

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An Estimation of Vehicle Vertical Dynamics Using Inverse Methodsts an approach to determining vehicle vertical dynamics, wheel vertical forces, and pitch torques based on an inverse direction methodology. The simple Kalman filter is used to form a filter that generates the residual innovation sequences with a recursive estimator. A least-squares algorithm is ap

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