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A new cooperative error was defined firstly and a new cooperative model of the vehicle was developed for the vehicle's steering antilock braking stability fields. A new two-level fuzzy robust cooperative control system was proposed. The architecture was composed with the execution layer and the cooperation layer. The uncertain parameters deteriorate the performance of the systems, so the yaw moment...
As the converging point and evacuating point of traffic flow, the service level of intersection is closely related to the explicit costs the drivers can bear in passing the intersection. This article applying point sample method to 5 districts and 15 intersections of Beijing and using regression analysis to propose intersection congestion index, can dynamically reflect the degree of intersection congestion;...
Generally traffic jams are grown from single spots such as intersections which have key positions in urban transportation, then the small jams came into bigger ones, until the whole region was stopped up. In order to measure the extent of traffic jams, it's necessary to define an index. Based on regression analysis on the data from 15 Intersections of 5 Beijing Districts, the Intersection Approach...
As part of the urban transportation, intersections belong to quasi-public goods. Individual vehicles will not affect others on the same intersection when traffic is smooth. But once the traffic flow exceeds the critical point, intersections' non-competitive character will disappear and exclusionary becomes conspicuous, showing all levels of traffic jams. This article first combines the transportation...
in order to solve the map matching problem in traffic information collection based on wireless positioning, a integrated map matching algorithm based on fuzzy theory was proposed, it identified the road on which the phone-in-moving-vehicle was moving by comparing the similarity degree between its trajectory curve and all the candidate roads, which included three features with look-ahead to improve...
In this paper a vehicle detection algorithm is presented based on the combination of edge feature and random walk techniques. We used background subtraction and edge detection to obtain the moving area, then used morphological operations for vehicle skeleton extraction and get the seed for random walk. Our algorithm has three phases, detection of areas on moving objects, extraction of skeleton points...
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