ORS: The Optimal Routing Solution for Smart City Users

Abstract

Road transport-related air pollution is one of the critical issues for most of the developing countries as the emission of air pollution during transportation causes severe physical and psychological health problems. Hence, the identification of pollution-free route is the most critical aspect in the case of air pollution management for smart city users. This research paper proposes an optimal routing solution algorithm (ORS) approach that predicts the pollutant value for the road network and includes a weight assignment function to measure the safety level of each route to build a developed transportation system for smart city users. The proposed method experimented with both geostatistical and non-geostatistical algorithm to predict the SPM pollutant level in each route. Each approach is evaluated to compute the weight function to determine the optimized routing solutions. The streamlined routing solution can be accessible by the developed web applications to access the healthier path, which may not provide the shortest path every time but suggests a more robust route for smart city users.