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  2. Journey planner - Wikipedia

    en.wikipedia.org/wiki/Journey_Planner

    Typical optimizations for car routing are shortest route, fastest route, cheapest route and with constraints for specific waypoints. The rise of e-mobility poses new challenges to route planning, e.g. sparse charging infrastructure, limited range, and long charging have to be taken into account and offer room for optimization. [19]

  3. 10 AI Tools That Can Plan Your Next Road Trip

    www.aol.com/10-ai-tools-plan-next-145700892.html

    2. Optimize your route. Optimizing your travel routes can help you save time, money, and effort. Apart from arriving at your destination faster, you can save on fuel, accommodations, and other ...

  4. GraphHopper - Wikipedia

    en.wikipedia.org/wiki/GraphHopper

    GraphHopper is an open-source routing library and server written in Java and provides a routing API over HTTP. [1] It runs on the server, desktop, Android, iOS or Raspberry Pi. [2] [3] By default OpenStreetMap data for the road network and elevation data from the Shuttle Radar Topography Mission is used.

  5. Category:Route planning software - Wikipedia

    en.wikipedia.org/wiki/Category:Route_planning...

    Mobile route-planning software (27 P) G. Google Maps (2 C, 23 P) W. Route planning websites (9 P) Pages in category "Route planning software"

  6. Vehicle routing problem - Wikipedia

    en.wikipedia.org/wiki/Vehicle_routing_problem

    The objective of the VRP is to minimize the total route cost. In 1964, Clarke and Wright improved on Dantzig and Ramser's approach using an effective greedy algorithm called the savings algorithm. Determining the optimal solution to VRP is NP-hard , [ 2 ] so the size of problems that can be optimally solved using mathematical programming or ...

  7. Cost distance analysis - Wikipedia

    en.wikipedia.org/wiki/Cost_distance_analysis

    The various problems, algorithms, and tools of cost distance analysis operate over an unconstrained two-dimensional space, meaning that a path could be of any shape. Similar cost optimization problems can also arise in a constrained space, especially a one-dimensional linear network such as a road or telecommunications network.

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