Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3535
Title: ORS: The Optimal Routing Solution for Smart City Users
Authors: Samal, K.Krishna Rani
Babu, Korra Sathya
Das, Santos Kumar
Keywords: Air Pollution
Spatial Analysis
Geostatistics
Transportation
Issue Date: Mar-2020
Citation: International Conference on Electronic Systems and Intelligent Computing (ESIC-2020), NIT Arunachal Pradesh, Yupia, India, 2-4 March 2020
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.
Description: Copyright of this paper is with proceedings publisher
URI: http://hdl.handle.net/2080/3535
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
2020_ESIC_KKRSamal_ORS.pdf676.55 kBAdobe PDFView/Open    Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.