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2. 10 AI Tools That Can Plan Your Next Road Trip

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

   Yes, there are apps designed to plan road trips with multiple stops. Tools like Google Maps, Roadtrippers, and TripIt allow you to input several destinations and optimize your route to include all ...

3. Google Maps - Wikipedia

   en.wikipedia.org/wiki/Google_Maps

   In January 2021, Google announced updates to the route planner that would accommodate drivers of electric vehicles. Routing would take into account the type of vehicle, vehicle status including current charge, and the locations of charging stations. [53] In June 2022, Google Maps added a layer displaying air quality for certain countries. [54]

4. Journey planner - Wikipedia

   en.wikipedia.org/wiki/Journey_Planner

   A journey planner, trip planner, or route planner is a specialized search engine used to find an optimal means of travelling between two or more given locations, sometimes using more than one transport mode. [1][2] Searches may be optimized on different criteria, for example fastest, shortest, fewest changes, cheapest. [3]

5. GTFS - Wikipedia

   en.wikipedia.org/wiki/GTFS

   Journey planning. GTFS is typically used to supply data on public transit for use in multi-modal journey planner applications. In most cases, GTFS is combined with a detailed representation of the street/pedestrian network to allow routing to take place from point to point rather than just between stops.

6. Google Maps Navigation - Wikipedia

   en.wikipedia.org/wiki/Google_Maps_Navigation

   Google Maps Navigation. Google Maps Navigation is a mobile application developed by Google for the Android and iOS operating systems that later integrated into the Google Maps mobile app. The application uses an Internet connection to a GPS navigation system to provide turn-by-turn voice-guided instructions on how to arrive at a given ...

7. Shortest path problem - Wikipedia

   en.wikipedia.org/wiki/Shortest_path_problem

   Shortest path problem. Shortest path (A, C, E, D, F) between vertices A and F in the weighted directed graph. In graph theory, the shortest path problem is the problem of finding a path between two vertices (or nodes) in a graph such that the sum of the weights of its constituent edges is minimized. [1]