Ontology-driven traffic scenario modeling for situational assessment and decision-making at expressway toll Plaza

Abstract

Intelligent Transportation System (ITS) are a combination of technological sub-systems used to enhance safety as well as performance of surface transportation. A vital element for success of ITS is interoperability among connected road elements. In this study, Toll Plaza ontology is designed to minimize traffic congestion by gate switching for stop-go scenario. Decision-making rules are designed with the help of Indian traffic regulation guidelines along with exogenous variables such as weather conditions and holiday. The proposed approach can be used for further situational assessment to design the existing infrastructure more efficiently for the intelligent transportation operations in smart cities. The proposed framework is subjected to minimize the infrastructure cost, operational cost, day-to-day prediction of de-congestion time for priority vehicles and segment travel time to improve social life.