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Pareto-Optimal Transit Route Planning With Multi-Objective Monte-Carlo Tree Search

https://doi.org/10.1109/tits.2020.2964012

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What this work says

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Shadow traffic: A unified model for abnormal traffic behavior simulation

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Transit network design and scheduling: A global review

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Urban Bus Transit Route Network Design Using Genetic Algorithm

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Optimal Transit Route Network Design Problem with Variable Transit Demand: Genetic Algorithm Approach

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Using a Simulated Annealing Algorithm to Solve the Transit Route Network Design Problem

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When Taxi Meets Bus: Night Bus Stop Planning over Large-Scale Traffic Data

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Monte Carlo Tree Search with macro-actions and heuristic route planning for the Multiobjective Physical Travelling Salesman Problem

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Solving the Physical Traveling Salesman Problem: Tree Search and Macro Actions

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Data-Driven Intelligent Transportation Systems: A Survey

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B-Planner: Planning Bidirectional Night Bus Routes Using Large-Scale Taxi GPS Traces

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A Survey of Traffic Data Visualization

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Data-Driven Transit Network Design From Mobile Phone Trajectories

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Mobility Viewer: An Eulerian Approach for Studying Urban Crowd Flow

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Location2vec: A Situation-Aware Representation for Visual Exploration of Urban Locations

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VAUD: A Visual Analysis Approach for Exploring Spatio-Temporal Urban Data

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Real-time routing with OpenStreetMap data

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