Multi-objective optimized personalized path selection method

Abstract

The invention discloses a multi-objective optimized personalized path selection method, which comprises the following steps: step 1, judging whether more than one potential path exists between a starting point and a destination or not, and if so, entering a step 2; step 2, inputting the tendency weight of each target factor by a driver, and calculating the proportion of each target factor in pathselection; step 3, calculating a single target factor accumulated value corresponding to each alternative path; step 4, calculating a score value of one alternative path corresponding to the target factor; step 5, calculating a comprehensive expected weighted score of each alternative path; and step 6, selecting the highest alternative path from all the alternative paths as a final path to be output. According to the method, the driving safety is used as an optimization index, and meanwhile, the influence of three target factors of safety, energy consumption and time on path selection can be comprehensively considered according to user requirements, so that the overall path selection can better meet the requirements of drivers.

Description

technical field [0001] The invention relates to the technical field of intelligent traffic safety, in particular to a multi-objective optimized personalized path selection method. Background technique [0002] In recent years, whether it is a mobile phone APP or a vehicle-mounted system, it has a relatively mature route planning algorithm. When the system obtains an electronic map and inputs the starting point and destination, it can output a route. However, the current route planning has the following problems: 1) It does not take into account the road safety target factors, and the driving safety is not guaranteed enough. For some drivers, driving safety is an important factor to consider. Limited by their driving years and experience, some drivers prefer to drive on roads with simple traffic conditions and less accidents. However, the current route planning method does not consider driving The variable of safety; 2) The current route selection method only has several dis...

AI Technical Summary

Problems solved by technology

However, the current path planning has the following problems: 1) It does not take into account the road safety target factors, and the driving safety is not guaranteed enough

However, the main purpose of the current optimization method is still to improve the search efficiency, without considering the driver's demand for driving safety, and cannot meet the driver's individual needs for different target factors at the same time.

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