Journal of the Eastern Asia Society for Transportation Studies | VOL. 31
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온실가스 감축을 위한 대형 화물차 좌회전 우선신호 알고리즘 개발

Publication Date Oct 31, 2013

Abstract

This study aims to develop a truck priority on left-turn algorithm that can reduce greenhouse gas emissions by reducing heavy duty truck`s stops at signalized intersection. The signal priority is granted for a left-turn phase, because heavy duty trucks can deteriorate left-turn traffic flow due to the low acceleration or deceleration rate and large turn radius. Truck priority allows to provide the stable speed control for heavy duty truck, and reduces emissions at the signal intersection. Also, two signal recovery strategies are compared for various traffic conditions. This study analyzes the effectiveness of truck priority such as greenhouse gas emissions and fuel consumption reduction, and total travel time saving using the PARAMICS and Comprehensive Modal Emissions Model (CMEM). The results show that signal priority for heavy duty trucks has an effect on reducing greenhouse gas emissions and fuel consumptions at non-peak hour. Also, it shows decreasing total travel time due to reducing truck stops.

Concepts

Heavy Duty Truck Comprehensive Modal Emissions Model Reduce Greenhouse Gas Emissions Signal Intersection Modal Emissions Model Greenhouse Gas Emissions Left-turn Phase Non-peak Hour Total Travel Time Fuel Consumption Reduction

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No potential conflict of interest was reported by the authors. The conception and design of the study, acquisition of data, analysis and interpretatio...

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