Enhancing the Traffic Delay Model (TDM) in Signalised Intersections using GPS Data
Signalised Intersection Delay Model is one of the important components used in urban traffic for capacity analysis and simulations. The efficiency and quality of traffic operation at signal controlled intersections are assessed in terms of delay caused to an individual vehicle as a meaning of Level of Service (LOS). Nevertheless, with the advancement of technology and availability of various mobile data like GPS, one easy way to evaluate such delays is to use the most common model but adapt it with some typical one-line data. According to the research carried out at the Traffic Management and Traffic Control Centre of the Shiraz University to present a reasonable delay model, seven significant intersections were selected in Shiraz City to collect the suitable dataset. Twelve drivers were selected to collect data. The collected data were used to adopt the model more effectively. A low cost scenario and a least squares optimisation algorithm have been provided to optimise each intersection delay function and update the formula based on traffic conditions. The results showed that compared with different studies for achieving a suitable traffic delay formula especially for complex traffic conditions which exist in developing and under developing countries, the proposed scenario is one of the most effective and low cost methods for municipalities to achieve an improved TDM.
Citation : Hafezi, Z., Safavi, A., Moemeni, A. (2019) Enhancing the Traffic Delay Model (TDM) in Signalised Intersections using GPS Data. Iranian Conference on Electrical Engineering (ICEE 2019), Iran, April / May 2019.
Research Institute : Institute of Artificial Intelligence (IAI)
Peer Reviewed : Yes