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Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform
7 references·0 citing·36 second hop
Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform (2022)Deep dispatching: A deep reinforcement le…ST-Trader: A Spatial-Temporal Deep Neural Network for Modeling Stock Market Movement (2021)ST-Trader: A Spatial-Temporal…Estimation of urban network capacity with second-best constraints for multimodal transport systems (2021)Estimation of urban network c…Cumulative prospect theory coupled with multi-attribute decision making for modeling travel behavior (2021)Cumulative prospect theory co…Revealing psychological inertia in mode shift behavior and its quantitative influences on commuting trips (2020)Revealing psychological inert…Inter-Platform Competition in a Regulated Ride-Hail Market With Pooling (2020)Inter-Platform Competition in…A dynamic ridesharing dispatch and idle vehicle repositioning strategy with integrated transit transfers (2019)A dynamic ridesharing dispatc…Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services (2018)Hexagon-Based Convolutional N…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Economic analysis of ride-sourcing markets (2016)Forecasting the Subway Passenger Flow Under Event Occurrences With Social Media (2016)Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework (2020)Strategic facility location: A review (1998)Introduction to time series analysis and forecasting (2008)A methodology to derive the critical demand density for designing and operating feeder transit services (2009)The theory of planned behavior (1991)The construction of preference. (1995)Habit and intention in everyday life: The multiple processes by which past behavior predicts future behavior. (1998)High-resolution assessment of environmental benefits of dockless bike-sharing systems based on transaction data (2021)Spatial heterogeneity in distance decay of using bike sharing: An empirical large-scale analysis in Shanghai (2021)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Advances in prospect theory: Cumulative representation of uncertainty (1992)Diverging effects of subjective prospect values of uncertain time and money (2021)Supporting personalized new energy vehicle purchase decision-making: Customer reviews and product recommendation platform (2023)Unraveling the mode substitution of dockless bike-sharing systems and its determinants: A trip level data-driven interpretation (2023)The relationship between return and market value of common stocks (1981)Another look at measures of forecast accuracy (2006)A five-factor asset pricing model (2014)Deep Learning for Financial Time Series Prediction: A State-of-the-Art Review of Standalone and Hybrid Models (2023)Quantitative stock portfolio optimization by multi-task learning risk and return (2023)Integrating sentiment analysis with graph neural networks for enhanced stock prediction: A comprehensive survey (2024)Existence of an Equilibrium for a Competitive Economy (1954)Rules, Games, and Common-Pool Resources (1994)Platform Competition in Two-Sided Markets (2003)Non-additive network pricing with non-cooperative mobility service providers (2024)Platform integration in ride-sourcing markets with heterogeneous passengers (2024)On the satisfaction function of random utility models: A theoretical review with new developments in weibit-based choice models (2025)Studies in the Economics of Transportation. (1957)The Traffic Assignment Problem: Models and Methods (1994)Transit-oriented development: A review of research achievements and challenges (2019)Large-scale multimodal transportation network models and algorithms-Part I: The combined mode split and traffic assignment problem (2022)Modeling the capacity of multimodal and intermodal urban transportation networks that incorporate emerging travel modes (2022)Low-carbon route optimization model for multimodal freight transport considering value and time attributes (2024)
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References

  • 2018Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services168 cited
  • 2019A dynamic ridesharing dispatch and idle vehicle repositioning strategy with integrated transit transfers162 cited
  • 2020Revealing psychological inertia in mode shift behavior and its quantitative influences on commuting trips113 cited
  • 2021ST-Trader: A Spatial-Temporal Deep Neural Network for Modeling Stock Market Movement104 cited
  • 2021Cumulative prospect theory coupled with multi-attribute decision making for modeling travel behavior97 cited
  • 2020Inter-Platform Competition in a Regulated Ride-Hail Market With Pooling76 cited
  • 2021Estimation of urban network capacity with second-best constraints for multimodal transport systems60 cited

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