Progressive Application for Route Optimization and Monitoring Processes in Solid Waste Pick-up, Based on Smart Collection Points Using IoT Sensors and the OR-Tools Algorithm

Abstract

At present, according to MEF (Ministry of Economy and Finance), Peru generates approximately 19 000 tons of municipal solid waste, of which 48% is disposed of in clandestine deposits, which puts people's health at risk and the deterioration of the environment. This study proposes the use of an OR-Tools algorithm, Internet of things and geolocation. These technologies will allow the calculation of the optimal path for solid waste collection, the sending of information in real time from the sensors and the location of the trucks for monitoring; all this based on a progressive web application. The problem identified lies in the inadequate process for collecting and transporting waste by 65.1% of the district municipalities of Metropolitan Lima. This, due to a lack of coverage on the routes, lack of supervision by the municipalities and the mismanagement of officials; generating a negative impact on current collection processes. The validation of the progressive web application was carried out in a controlled urbanization. This was executed by installing sensors that send information to the server in the cloud and it is stored in a database. Subsequently, the algorithm with this information, in conjunction with other parameters, will calculate the optimal route and display it on a map. The driver will view his designated route and the administrator will have general access to all routes, to track by geolocation. This is done in real time, this solving the problems presented at the beginning.