Vehicle route planning in e-waste mobile collection on demand supported by artificial intelligence algorithms

The study includes the simulation of e-waste collection requests in Tokyo, Philadelphia and Warsaw to compare algorithms for various urban arrangements of streets and buildings. The results show that the best of the four algorithms, to facilitate e-waste mobile collection on demand, is simulated annealing and the worst is tabu search. The proposed model and algorithm can bring significant improvement in planning the routes of the vehicles in the e-waste collection, including a positive social impact on the new method of waste collection, especially in urban areas.