Electric Vehicle Path Planning in an Urban Environment Using Practical Road Network Data

Path planning means finding a safe and smooth way for a vehicle, where it moves from one place to another. It is very important for self-driving cars and electric vehicles because it helps them travel easily in real roads. Many people have done worked on this topic to make electric vehicle driving better. Old method like the A-star (A*) algorithm are still used to find main routes because they are simple and easy to apply. But they sometime fail when roads have many obstacles or traffic signals are too much busy. Now, these methods are useful and form the base of most path planning systems which are reliable for electric vehicles drivers. In electric vehicles, planning is the right path to help save battery and travel time and cost. Today, routing APIs such as Openrouteservice (ORS) make this process more accurate. ORS uses real-road data from OpenStreetMap and applies routing rules that match real driving conditions. It checks the type of roads, traffic limits, and city maps to build correct driving paths. Where different basic straight line distance method ORS find routes that driver can actually follow on the road. In our project, this method is used to find out the best routes between different places in whole city of India (Ex- Patna, Delhi, Bangaluru). We found and show that the route are practical and useful for electric vehicle movement in real cities driving.