A fuel-based signal optimization model

• Performance of an analytical fuel-based signal optimization model is compared to Webster’s model, TRANSYT-7F, and Synchro.
• Optimal signal settings are simulated using DynaTAIWAN.
• Analytical fuel-based signal optimization performs better in reducing fuel consumption and CO2 emissions.

This paper considers fuel-based signal optimization based on a model composed of a description of the fuel consumption by idling, stopped vehicles, and of fuel consumption by vehicles accelerating from stop until they pass the stop line, and defines stochastic effects of vehicle movements which consume excess fuel. The fuel-based signal optimization model is examined and validated using simulations. The performance of the model is compared with other signal optimization models, including Webster’s model, TRANSYT-7F, and Synchro. Various optimal signal settings are simulated through the simulation-assignment model, DynaTAIWAN.