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Forecasting the crowd : an effective and efficient neural network for citywide crowd information prediction at a fine spatio-temporal scale
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The contribution of connected vehicles to network traffic control : a hierarchical approach
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Forecasting the crowd: An effective and efficient neural network for citywide crowd information prediction at a fine spatio-temporal scale
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Minimum entropy rate-improved trip-chain method for origin-destination estimation using smart card data
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Inferring temporal motifs for travel pattern analysis using large scale smart card data
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What drives the use of ridehailing in California? Ordered probit models of the usage frequency of Uber and Lyft
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Model based urban traffic control, part I : local model and local model predictive controllers
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Model based urban traffic control, part II : coordinated model predictive controllers
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Crowdsourcing mobility insights: reflection of attitude based segments on high resolution mobility behaviour data
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Road network inference through multiple track alignment