Dungyichao / Electric-Vehicle-Route-Planning-on-Google-Map-Reinforcement-Learning

User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition and the traffic. Our result is 10% less energy consumption than the route provided by Google map

Date Created 2017-11-10 (6 years ago)

Commits 194 (last one about a year ago)

Stargazers 226 (0 this week)

Watchers 13 (0 this week)

Forks 62

License unknown

Ranking

RepositoryStats indexes 534,551 repositories, of these Dungyichao/Electric-Vehicle-Route-Planning-on-Google-Map-Reinforcement-Learning is ranked #154,328 (71st percentile) for total stargazers, and #161,162 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #26,501/103,470.

Dungyichao/Electric-Vehicle-Route-Planning-on-Google-Map-Reinforcement-Learning is also tagged with popular topics, for these it's ranked: python (#7,469/20447), reinforcement-learning (#452/1189), google-maps (#61/160)

Other Information

Dungyichao/Electric-Vehicle-Route-Planning-on-Google-Map-Reinforcement-Learning has Github issues enabled, there are 3 open issues and 4 closed issues.

All Topics

python battery geocode python36 elevation directions double-dqn google-maps path-planning route-planner electric-vehicles reinforcement-learning

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3 commits on the default branch (master) since jan '22

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The only known language in this repository is Python

updated: 2024-06-19 @ 12:01pm, id: 110185550 / R_kgDOBpFMTg