At present, the majority of vehicle parking tends to randomly detour to find free parking lots, which not only extends the travel time of travellers but also makes travellers unable to match the optimal berths. In this paper, the shared parking lot allocation model is developed which can assign the most suitable parking lot to the user with the highest matching degree, alleviate the contradiction between supply and demand of parking and reduce the travel time. Through the user's walking endurance limit value, the parking lot sharing ability, parking fee, walking distance, travel time and safety are selected as the decision indicators. The weights of each decision indicator are obtained by subjective and objective combination weighting. Finally, taking the parking lot near Lijia Village as an example to allocate the best parking berth to the user to verify the validity of the model. and the result shows that the distribution model is effective.

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