Advanced OR and AI Methods in Transportation STRUCTURE OF URBAN TRAFFIC COORDINATION IN STREET NETWORKS PROBLEM
نویسنده
چکیده
The problem of efficient traffic coordination in urban street networks is carefully studied in the paper. The problem description was simplified as much as possible, by defining minimal set of decision variables and deriving necessary constraints on their values. The structure of feasible solutions is established introducing new basis of street network loops. The software package was worked out to support the inspection process of all possible solutions for rectangular street networks and both crisp and fuzzy parameters.
منابع مشابه
Modified particle swarm optimization algorithm to solve location problems on urban transportation networks (Case study: Locating traffic police kiosks)
Nowadays, traffic congestion is a big problem in metropolises all around the world. Traffic problems rise with the rise of population and slow growth of urban transportation systems. Car accidents or population concentration in particular places due to urban events can cause traffic congestions. Such traffic problems require the direct involvement of the traffic police, and it is urgent for the...
متن کاملOptimal Signal Control in Urban Road Networks with High Priority Congested Centers
Keeping the density of traffic flow and air pollution in an acceptable level and developing a good capacity for transit in the high priority areas of the city, is really a big deal in large and crowded cities. To address this problem, a new method of intersection signal optimization is presented in this paper. Based on network fundamental diagrams, an Internal–External Traffic Metering Strategy...
متن کاملAI In Advanced Traffic Management Systems
Traffic management systems have historically been limited to addressing the control of street signal lights. Algorithmic solutions to this problem have proved to be very restrictive, while expert system solutions have only shown valid results with small signal networks. None of these approaches has addressed the need for management of the overall transportation system of surface streets, inters...
متن کاملAdvanced OR and AI Methods in Transportation TRAFFIC PARAMETERS ESTIMATION TO PREDICT ROAD SIDE POLLUTANT CONCENTRATIONS USING NEURAL NETWORKS
The analysis aims to evaluate which among traffic parameters (flows, queues length, occupancy degree and travel time) are most important in order to forecast CO and C6H6 concentrations. The study area was identified by Notarbartolo Road and bounded by Libertà Street and Sciuti Street in the urban area of Palermo. In this area, various loop detectors and one pollution monitoring site were locate...
متن کاملEstimation of greenhouse gases emissions from urban traffic: a case study of Hamadan city
Background and Objective: Transportation sector generates the largest share of greenhouse gas emissions (CO2 and CH4) which causes global warming. “Stop-and-go” driving and congested traffic flow results in a decrease in average car speeds, an increase in traffic incidents, and finally escalates GHGs emissions. Hence, congestion is directly related to carbon emissions. The objective of this stu...
متن کامل