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Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation
10 references·8 citing·48 second hop
Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation (2020)Using Reinforcement Learning to Minimize …A reinforcement learning framework for the adaptive routing problem in stochastic time-dependent network (2018)A reinforcement learning fram…A selected review on the negative externalities of the freight transportation: Modeling and pricing (2015)A selected review on the nega…A Mean-Risk Model for the Traffic Assignment Problem with Stochastic Travel Times (2014)A Mean-Risk Model for the Tra…Shortest path problem considering on-time arrival probability (2009)Shortest path problem conside…OpenStreetMap: User-Generated Street Maps (2008)OpenStreetMap: User-Generated…Arriving on Time (2005)Arriving on TimeRisk-averse user equilibrium traffic assignment: an application of game theory (2002)Risk-averse user equilibrium …Least Expected Time Paths in Stochastic, Time-Varying Transportation Networks (2000)Least Expected Time Paths in …The Median Shortest Path Problem: A Multiobjective Approach to Analyze Cost vs. Accessibility in the Design of Transportation Networks (1987)The Median Shortest Path Prob…Path Preferences and Optimal Paths in Probabilistic Networks (1985)Path Preferences and Optimal …Finding Paths With Least Expected Time in Stochastic Time-Varying Networks Considering Uncertainty of Prediction Information (2023)Finding Paths With Least Expe…DRL Router: Distributional Reinforcement Learning-Based Router for Reliable Shortest Path Problems (2023)DRL Router: Distributional Re…Using Deep Reinforcement Learning to Coordinate Multi-Modal Journey Planning with Limited Transportation Capacity (2022)Using Deep Reinforcement Lear…Navigation With Time Limits in Transportation Networks: A Fourth Moment Approach (2022)Navigation With Time Limits i…Dual Dynamic Programming for the Mean Standard Deviation Canadian Traveller Problem (2022)Dual Dynamic Programming for …GP3: Gaussian Process Path Planning for Reliable Shortest Path in Transportation Networks (2021)GP3: Gaussian Process Path Pl…Improving the Performance of Transportation Networks: A Semi-Centralized Pricing Approach (2020)Improving the Performance of …A Multi-Dimensional Contract Approach for Data Rewarding in Mobile Networks (2020)A Multi-Dimensional Contract …The world is flat: a brief history of the twenty-first century (2006)Citizens as Voluntary Sensors: Spatial Data Infrastructure in the World of Web 2.0 (2007)How Good is Volunteered Geographical Information? 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References

  • 2008OpenStreetMap: User-Generated Street Maps3,219 cited
  • 2000Least Expected Time Paths in Stochastic, Time-Varying Transportation Networks310 cited
  • 2009Shortest path problem considering on-time arrival probability308 cited
  • 2015A selected review on the negative externalities of the freight transportation: Modeling and pricing244 cited
  • 2002Risk-averse user equilibrium traffic assignment: an application of game theory216 cited
  • 2005Arriving on Time164 cited
  • 1985Path Preferences and Optimal Paths in Probabilistic Networks96 cited
  • 1987The Median Shortest Path Problem: A Multiobjective Approach to Analyze Cost vs. Accessibility in the Design of Transportation Networks85 cited
  • 2014A Mean-Risk Model for the Traffic Assignment Problem with Stochastic Travel Times77 cited
  • 2018A reinforcement learning framework for the adaptive routing problem in stochastic time-dependent network63 cited

Cited by

  • 2020A Multi-Dimensional Contract Approach for Data Rewarding in Mobile Networks48 cited
  • 2021GP3: Gaussian Process Path Planning for Reliable Shortest Path in Transportation Networks27 cited
  • 2023Finding Paths With Least Expected Time in Stochastic Time-Varying Networks Considering Uncertainty of Prediction Information12 cited
  • 2023DRL Router: Distributional Reinforcement Learning-Based Router for Reliable Shortest Path Problems

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9 cited
  • 2022Using Deep Reinforcement Learning to Coordinate Multi-Modal Journey Planning with Limited Transportation Capacity7 cited
  • 2020Improving the Performance of Transportation Networks: A Semi-Centralized Pricing Approach6 cited
  • 2022Navigation With Time Limits in Transportation Networks: A Fourth Moment Approach6 cited
  • 2022Dual Dynamic Programming for the Mean Standard Deviation Canadian Traveller Problem4 cited