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Study On Traffic Information Gathering Based On Cellular Wireless Location

Posted on:2011-10-25Degree:DoctorType:Dissertation
Country:ChinaCandidate:L M GuoFull Text:PDF
GTID:1118360305992929Subject:Traffic Information Engineering & Control
Abstract/Summary:PDF Full Text Request
In recent years, the Cellular location-based traffic information collection technology has been received worldwide extensive attention, compared with conventional embedded road sensors, video collector and GPS-based floating vehicles and other traffic acquisition techniques, the traffic information collection technology based on cellular location has characteristics of low developing and maintaining cost, wide coverage, quick and easy deployment and good adaptability. So the research on the cellular localization-based traffic information collection has important theoretical and practical value. This article was studied the following questions:1. To the question of random initialization location in constrained minimum estimate which might result in locally optimal solutions, a quadratic programming method with constraints was proposed, we obtained initial position estimation close to the actual location of the mobile station and scatterers, the positioning accuracy is improved.2.Using the bear angles of the scatterers with respect to the MS replace the scatterers coordinates, a new nonlinear constrained objective function was constructed, and using the improved particle swarm algorithm searching the global optimal solution, the positioning accuracy is further improved.3.The improved mobile station identification and mobile station clustering methods were proposed to determine the vehicles location; By smoothing the vehicle trajectory before matching, and extracting multiple characteristics of the vehicle trajectory, we adopt fuzzy preference relations to make decision of the multiple characteristics. the map matching reliability is improved.4.Because of the floating vehicles running randomly in the road network, which resulted in collecting road traffic data not in accordance with the different geometric conditions and traffic conditions, we proposed a traffic information collection method based on cellular size, the sampling parameters were given and traffic speed, travel time and traffic flow were estimated.5.In traffic flow forecasting, similar traffic conditions and traffic status were considered by using the mixed regression curve clustering method to classify the different traffic status, the improved algorithm achieves better traffic flow forecasting.In addition, the traffic information gathering simulation environment based on cellular location data was constructed and followed by concluding remarks and the need for further research.
Keywords/Search Tags:cellular wireless location, map matching, traffic information gethenng, traffic flow forecasting
PDF Full Text Request
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