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A reinforcement learning framework for the adaptive routing problem in stochastic time-dependent network
7 references·9 citing·34 second hop
A reinforcement learning framework for the adaptive routing problem in stochastic time-dependent network (2018)A reinforcement learning framework for th…Real-time traveler information for optimal adaptive routing in stochastic time-dependent networks (2011)Real-time traveler informatio…State Space Reduction for Nonstationary Stochastic Shortest Path Problems With Real-Time Traffic Information (2005)State Space Reduction for Non…Optimal routing policy problems in stochastic time-dependent networks (2005)Optimal routing policy proble…An adaptive routing algorithm for in-vehicle route guidance systems with real-time information (2001)An adaptive routing algorithm…Least Expected Time Paths in Stochastic, Time-Varying Transportation Networks (2000)Least Expected Time Paths in …Expected shortest paths in dynamic and stochastic traffic networks (1998)Expected shortest paths in dy…The Fastest Path through a Network with Random Time-Dependent Travel Times (1986)The Fastest Path through a Ne…Agentic Large Language Models for day-to-day route choices (2025)Agentic Large Language Models…Airline dynamic pricing with patient customers using deep exploration-based reinforcement learning (2024)Airline dynamic pricing with …Finding Paths With Least Expected Time in Stochastic Time-Varying Networks Considering Uncertainty of Prediction Information (2023)Finding Paths With Least Expe…Data-driven operations and supply chain management: established research clusters from 2000 to early 2020 (2022)Data-driven operations and su…cuRL: A Generic Framework for Bi-Criteria Optimum Path-Finding Based on Deep Reinforcement Learning (2022)cuRL: A Generic Framework for…Adaptive personalized routing for vulnerable road users (2022)Adaptive personalized routing…A framework for efficient dynamic routing under stochastically varying conditions (2022)A framework for efficient dyn…Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation (2020)Using Reinforcement Learning …Dynamic pricing for managed lanes with multiple entrances and exits (2018)Dynamic pricing for managed l…Probability Concepts in Engineering Planning and Design (1975)Shortest paths in stochastic networks with correlated link costs (2005)Finding Reliable Shortest Paths in Road Networks Under Uncertainty (2012)Constraint reformulation and a Lagrangian relaxation-based solution algorithm for a least expected time path problem (2013)Decisions with Multiple Objectives: Preferences and Value Tradeoffs. (1994)On Modelling Route Choice Sets in Transportation Networks: A Synthesis (2008)Adaptive route choices in risky traffic networks: A prospect theory approach (2009)Dynamic network models and driver information systems (1991)Day-To-Day Dynamic Network Disequilibria and Idealized Traveler Information Systems (1994)Modeling Strategic Route Choice and Real-Time Information Impacts in Stochastic and Time-Dependent Networks (2012)Application of Lagrangian relaxation approach to α-reliable path finding in stochastic networks with correlated link travel times (2015)The α-reliable path problem in stochastic road networks with link correlations: A moment-matching-based path finding algorithm (2018)Application of a Technique for Research and Development Program Evaluation (1959)Introduction to Stochastic Programming (1997)Introduction to Stochastic Programming (2011)Modeling and Analysis of Stochastic Systems (1996)Dynamic Fuzzy Logic-Ant Colony System-Based Route Selection System (2010)Impact of Ambulance Dispatch Policies on Performance of Emergency Medical Services (2011)Comparing Fixed-Route and Demand-Responsive Feeder Transit Systems in Real-World Settings (2013)OpenStreetMap: User-Generated Street Maps (2008)Shortest path problem considering on-time arrival probability (2009)A Multi-Dimensional Contract Approach for Data Rewarding in Mobile Networks (2020)GP3: Gaussian Process Path Planning for Reliable Shortest Path in Transportation Networks (2021)Barriers, facilitators, and access for wheelchair users: sbstantive and methodologic lessons from a pilot study of environmental effects (2002)To Walk or Not to Walk? The Hierarchy of Walking Needs (2005)Enhancing sidewalk accessibility assessment for wheelchair users: An adaptive weighting fuzzy-based approach (2024)User Perception-Based Optimal Route Selection for Vehicles of Disabled Persons in Urban Centers of Saudi Arabia (2024)User-centered AI-based voice-assistants for safe mobility of older people in urban context (2024)On Stochastic Models of Traffic Assignment (1977)Discrete choice analysis: Theory and application to travel demand (1988)Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics (2023)Scalable and reliable multi-agent reinforcement learning for traffic assignment (2025)Arriving on Time (2005)Chapter 9 Hazardous Materials Transportation (2006)
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References

  • 1986The Fastest Path through a Network with Random Time-Dependent Travel Times404 cited
  • 2000Least Expected Time Paths in Stochastic, Time-Varying Transportation Networks310 cited
  • 1998Expected shortest paths in dynamic and stochastic traffic networks285 cited
  • 2005Optimal routing policy problems in stochastic time-dependent networks241 cited
  • 2001An adaptive routing algorithm for in-vehicle route guidance systems with real-time information149 cited
  • 2011Real-time traveler information for optimal adaptive routing in stochastic time-dependent networks82 cited
  • 2005State Space Reduction for Nonstationary Stochastic Shortest Path Problems With Real-Time Traffic Information62 cited

Cited by

  • 2020Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation62 cited
  • 2022Adaptive personalized routing for vulnerable road users27 cited
  • 2025Agentic Large Language Models for day-to-day route choices25 cited
  • 2022Data-driven operations and supply chain management: established research clusters from 2000 to early 202023 cited
  • 2018Dynamic pricing for managed lanes with multiple entrances and exits21 cited
  • 2022A framework for efficient dynamic routing under stochastically varying conditions17 cited
  • 2024Airline dynamic pricing with patient customers using deep exploration-based reinforcement learning

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17 cited
  • 2023Finding Paths With Least Expected Time in Stochastic Time-Varying Networks Considering Uncertainty of Prediction Information12 cited
  • 2022cuRL: A Generic Framework for Bi-Criteria Optimum Path-Finding Based on Deep Reinforcement Learning9 cited