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A Robust End-to-End Predict-Then-Optimize Framework for Time-Dependent Vehicle Routing Problem with Path Flexibility under Urban Traffic Dynamics

https://doi.org/10.2139/ssrn.7077547
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PyEPO: a PyTorch-based end-to-end predict-then-optimize library for linear and integer programming
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Data-driven optimization for last-mile delivery
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Vehicle routing under time-dependent travel times: The impact of congestion avoidance
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Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies
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Advanced routing for city logistics service providers based on time-dependent travel times
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LSTM-based traffic flow prediction with missing data
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The Pollution-Routing Problem
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The impact of depot location, fleet composition and routing on emissions in city logistics
inferredcites →https://doi.org/10.1016/j.trb.2016.10.013openalex-snapshot
Time-dependent vehicle routing problem with path flexibility
inferredcites →https://doi.org/10.1016/j.trb.2020.12.007openalex-snapshot
Electric vehicle routing problem with machine learning for energy prediction
inferredcites →https://doi.org/10.1016/j.urbmob.2022.100020openalex-snapshot
City logistics: Challenges and opportunities for technology providers
inferredcites →https://doi.org/10.1016/s0377-2217(02)00147-9openalex-snapshot
Vehicle dispatching with time-dependent travel times
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Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results
inferredcites →https://doi.org/10.1109/access.2020.3011186openalex-snapshot
STGAT: Spatial-Temporal Graph Attention Networks for Traffic Flow Forecasting
inferredcites →https://doi.org/10.1109/access.2021.3097141openalex-snapshot
Intelligent Traffic Flow Prediction Using Optimized GRU Model
inferredcites →https://doi.org/10.1109/mwc.001.1900151openalex-snapshot
Real-Time Route Planning and Data Dissemination for Urban Scenarios Using the Internet of Things
inferredcites →https://doi.org/10.1109/peits.2008.134openalex-snapshot
Short Term Traffic Flow Prediction Based on Online Learning SVR
inferredcites →https://doi.org/10.1109/tcyb.2021.3089179openalex-snapshot
Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems
inferredcites →https://doi.org/10.1109/tcyb.2021.3111082openalex-snapshot
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem
inferredcites →https://doi.org/10.1109/tits.2023.3343490openalex-snapshot
Flexible Paths: A Path Planning Approach to Dynamic Navigation
inferredcites →https://doi.org/10.1109/tits.2024.3385029openalex-snapshot
An End-to-End Predict-Then-Optimize Clustering Method for Stochastic Assignment Problems
inferredcites →https://doi.org/10.1109/tits.2024.3440650openalex-snapshot
BjTT: A Large-Scale Multimodal Dataset for Traffic Prediction
inferredcites →https://doi.org/10.1145/3721983openalex-snapshot
SED2AM: Solving Multi-Trip Time-Dependent Vehicle Routing Problem Using Deep Reinforcement Learning
inferredcites →https://doi.org/10.1287/mnsc.1120.1518openalex-snapshot
Robust Portfolio Choice with Learning in the Framework of Regret: Single-Period Case
inferredcites →https://doi.org/10.1287/mnsc.2020.3922openalex-snapshot
Smart “Predict, then Optimize”
inferredcites →https://doi.org/10.1287/opre.35.2.254openalex-snapshot
Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints
inferredcites →https://doi.org/10.1287/trsc.26.3.185openalex-snapshot
Time Dependent Vehicle Routing Problems: Formulations, Properties and Heuristic Algorithms
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301922openalex-snapshot
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
inferredcites →https://doi.org/10.1609/aaai.v34i01.5477openalex-snapshot
GMAN: A Graph Multi-Attention Network for Traffic Prediction
inferredcites →https://doi.org/10.1609/aaai.v37i6.25884openalex-snapshot
End-to-End Learning for Optimization via Constraint-Enforcing Approximators
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