Minimum carbon dioxide emission based selection of traffic route with unsignalised junctions in tandem network

Abstract

PurposeThe purpose of this paper is to provide a traffic route selection strategy based on minimum carbon dioxide (CO2) emission by vehicles over different route choices.Design/methodology/approachThe study used queuing theory for Markovian M/M/1 model over the road junctions to assess total time spent over each of the junctions for a route with junctions in tandem. With parameters of distance, mean service rate at the junction, the number of junctions and fuel consumption rate, which is a function of variable average speed, the CO2 emission is estimated over each of the junction in tandem and collectively over each of the routes.FindingsThe outcome of the study is a mathematical formulation, using queuing theory to estimate CO2 emissions over different route choices. Research finding estimated total time spent and subsequent CO2 emission for mean arrival rates of vehicles at junctions in tandem. The model is validated with a pilot study, and the result shows the best vehicular route choice with minimum CO2 emissions.Research limitations/implicationsProposed study is limited to M/M/1 model at each of the junction, with no defection of vehicles. The study is also limited to a constant mean arrival rate at each of the junction.Practical implicationsThe work can be used to define strategies to route vehicles on different route choices to reduce minimum vehicular CO2 emissions.Originality/valueProposed work gives a solution for minimising carbon emission over routes with unsignalised junctions in the tandem network.