Titlebook: Smart Transportation Systems 2020; Proceedings of 3rd K Xiaobo Qu,Lu Zhen,Lakhmi C. Jain Conference proceedings 2020 The Editor(s) (if appl

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Vehicle Scheduling Model for an Electric Bus Line,ost resulting from the bus fleet expansion. A case study is conducted to assess the proposed optimization model with a real electric bus route. The results show that the proposed model is capable of maintaining bus battery SOC within the reasonable range.

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How to Model the Influence of In-vehicle Crowding on Travel Behavior: A Comparison Among Moderationf travel time on the perception of in-vehicle crowding are the best ways to depict the overall influences of in-vehicle crowding. The sensitivity analysis shows that increasing the cost of using car is comparatively effective for reducing car usage. Shortening the travel time of public transit and i

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Multivariate Time Series Analysis Using Recurrent Neural Network to Predict Bike-Sharing Demand, (RNN), a long short-term memory (LSTM), and a gated recurrent unit (GRU). In addition, we considered combining the LSTM and GRU methods together to improve the model’s effectiveness and accuracy. The results showed that all the RNNs, including the LSTM, GRU, and the model combining the LSTM and GRU

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