01474126

Component

Due to the development of industry and commerce, the percentage of fuel consumptions and emissions of the transport sector is increasing in recent years. As a result, the levels of carbon dioxide (CO2) and other emissions have worsened the environment, and thus global-warming and air-pollution issues need to be incorporated within the planning and operation of transportation systems. This research proposes a fuel-based signal optimization model on the basis of an analytical fuel consumption model, the Analytical Fuel Consumption Model (AFCM). The AFCM is composed of three parts: the first part describes fuel consumption by stopped vehicles which have idle fuel consumption rates, the second part describes fuel consumption by vehicles accelerating from a stopped status until they pass the stop line, and the third part represents stochastic effects of vehicle movements which consume excess fuel. The fuel-based signal optimization model is examined and validated through simulation experiments. Three signal settings, including TRANSYT 7F, Synchro, and the fuel-based signal optimization model, are compared through the simulation-assignment model, DynaTAIWAN. The experiment results show the fuel-based signal optimization model performs better to reduce fuel consumption and CO2 emissions.

This paper was sponsored by TRB committee ADC20 Transportation and Air Quality.

01470560

13-2488

English

21p

2013

Transportation Research Board 92nd Annual Meeting

Digital/other

Appendices; Figures; References; Tables

Carbon dioxide; Fuel consumption; Motor vehicle dynamics; Optimization; Pollutants

Environment; Highways; I15: Environment

Transportation Research Board Annual Meeting 2013 Paper #13-2488

TRIS, TRB, ATRI

Feb 5 2013 12:32PM