Development of Mathematical Models for Traffic Emissions Based on Vehicle Delay at Signalized Intersections

Abstract

This study aims to develop accurate mathematical models to estimate hydrocarbon (HC), carbon monoxide (CO), and nitrogen oxide (NOₓ) emissions based on traffic delay parameters at signalized intersections. Using data from six congested intersections in Amman, Jordan, microscopic simulation models were developed and validated. Statistical analysis was then conducted to establish relationships between emissions and two measures of effectiveness: delay per vehicle and intersection control delay. The results revealed a strong inverse linear relationship between delay per vehicle and emissions, with the developed logarithmic models achieving high coefficients of determination of 89.26%, 87.49%, and 98.04% for HC, CO, and NOₓ, respectively.