The Research Of Intelligent Parking Options Based On Private Shared Berth

Due to the increasing number of vehicles in our country, the demand is also increasing for parking facilities. Assuming that each car annual mileage of 20 thousand kilometers, 50 kilometers per hour, the annual state of the dynamic t raffic is only 400 hours, while the static state parking is more than 8000 hours, accounting for more than 95%. However, our static traffic infrastructure construction lag behind seriously the static traffic infrastructure construction in our country, it causes the current parking difficulties increasingly serious. Parking difficult reason in our country mainly includes two aspects: on the one hand, the parking facilities construction of our country lags far behind the growth of the motor vehicle speed, caused serious imbalance between supply and demand, especially in big cities the phenomenon to find a parking is more difficult. O n the other hand, public parking spaces are full of cars, traveling user could not find public parking and worry about that. We find the residential district roads surrounding private garages is often empty, private parking space utilization rate is very low, causing a large number of idle resources.First of all, this article investigates the influence factors that the parking user seclets private shared berth. Including parking safety, parking feasibility, walking distance, parking feasibility, parking convenience and parking fees etc. And the analysis is carried out. The paper demonstrates the feasibility to achieve private shared berth from the policy, the owners, the users, the technology, and so on. The possible problems are analyzed in the process of private shared berth, the frame design of private shared parking platform is also carried out.Secondly, private shared parking c hoice model is set up. Parking choice process mainly includes the path selection and the berth choice. Before the path selection, we should determine the alternative private shared berth. Using the maximum walking distance and the shared time to complete the preliminary screening. After determining the alternative berths, it uses an improved ant colony algorithm to determine the optimal path and travel time from the start to each alternative parking berth. In the choice of private shared berth, making quantitative analysis for evaluation index of affecting private parking. Weighted TOPSIS method model is set up to determine the optimal private shared berth.Finally, combining with specific cases, improved ant colony algorithm and weighted TOPSIS method are p roven to be the rationality of the model for private shared parking choice.