ACCOUNTING FOR TRAFFIC DENSITY AND MARKET PENETRATION IN A NEWLY DEVELOPED CONNECTIVITY ROBUSTNESS MODEL FOR CONNECTED VEHICLES ENVIRONMENTS

摘要

This study introduces a new connectivity robustness model, referred to as CONROB, based onNewton’s universal law of gravitation. The model accounts for the major factors affecting theconnectivity in connected vehicles (CV) environment such as transmission range, marketpenetration, and traffic density. Using a 45-square mile network in Washington County, locatedwest of Portland city, Oregon, a microscopic simulation study was conducted using VISSIM tomodel 15 scenarios for different relative traffic densities generated from traffic demand levelsranging from 80% to 120% of the current demand level and three levels of market penetration(5%, 15%, and 25%). For 5% market penetration, the simulation results showed a slight increasein robustness as relative density increased initially, followed by a more pronounced increase.The robustness consistently increased with the relative traffic density for 15% marketpenetration. For 25% market penetration, a sharp increase in robustness was observed with theincrease in relative traffic density. This demonstrates the sensitivity of the robustness measure totraffic density and market penetration. Multiple regression analysis was conducted to show thesignificant effect of relative traffic density and market penetration on the robustness measure. Anonlinear regression model was developed to estimate the robustness of the network as afunction of market penetration and relative traffic density. The model serves as a tool toconstruct design curves for robustness prediction in future connected vehicles environments.