An Optimized Combination Model of Traffic Information Collection Device Considering Comprehensive Benefit Maximization
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Abstract
In order to avoid the over-delivery problem of traffic information collection equipment, this paper presents a combination assignment model considering maximizingthe overall benefits.First of all, data demandwhich serves the daily city traffic management and the characteristics of common data collecting devices are identified.Furthermore, from the perspectives of demand and supply, a multi-objective function with the lowest acquisition cost and the best acquisition data is established. The use of multi-objective programming solution based on gray relational degree is proposed to obtain the optimal solution of the model.Finally, taking an area around the Third Ring Road in Chengdu as an example, the validity of the model is verified.The calculation result shows that a total number of 16 pairs of loop coil collecting devices, 14 video collecting devices and 43 GPS floating cars need to be placed in this area.Also, it illustrates that using the combination assignment model can effectively solve the problem of resource waste caused by over-delivery of the equipment, as well as maximize the utilization efficiency of the equipment, and save the total investment cost eventually.
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