Traffic signal optimization: Minimizing travel time and fuel consumption

Abstract:

This work integrates amulti-objective evolutionary algorithm with themulti-agent transport simulatorMATSim and the comprehensive modal emission model simulator CMEM to analyze the evolutionary optimization of traffic signals minimizing travel time and fuel consumption on a real-world large scenario. We simulate the movement of 20.000 vehicles on the transport network of a 5×8 Km2 area of Quito including 70 signal lights. Our aim is to clarify the nature and the extent of the conflict between these objectives. We also compare with a single-objective optimization algorithm where only travel time is optimized and evaluate the impact of the signals settings on gas emissions.

Año de publicación:

2016

Keywords:

Fuente:

scopus