Managing Light-Signalling Devices in View of City Eco-Logistics

The paper presents the issue of managing the control of vehicle traffic at crossroads by applying classical, traditional methods and a genetic algorithm. While carrying out the research, the authors indicated that genetic operators enable us to control lighting devices more efficiently by about 20% as compared to classical methods and by about 40% compared to traditional methods. Classical methods have been defined as models based on movement sensors only and the FIFO queue whereas the traditional method denotes permanent lighting cycles. Thanks to the elaborated method of controlling the traffic emission of CO2 may be decreased. The paper also indicated further directions for research on methods related to fuzzy sets, neural networks, heuristics and hybrid methods.