sash-ko / ai-transportation

Artificial Intelligence in Transportation

Artificial Intelligence in Transportation

A collection of AI in transportation research papers with implementations inspired by:

• Artificial Intelligence in Transportation KDD 2018 Tutorial, London, U.K
• Deep Reinforcement Learning with Applications in Transportation

Simulator and benchmarks

simobility - a light-weight mobility simulation framework.

Papers

• T. Oda and C. Joe-Wong, "Movi: A model-free approach to dynamic fleet management". 2018

• A. Alabbasi, A. Ghosh, and V. Aggarwal, "DeepPool: Distributed model-free algorithm for ride-sharing using deep reinforcement learning", IEEETrans. Intelligent Transportation Systems (to appear). 2019

• J. Ke, F. Xiao, H. Yang, and J. Ye. Optimizing online matching for ride-sourcing services with multi-agent deep reinforcement learning. 2019