Optimization of Selecting PGI Sign Locations Based on Parking Guidance Behavior Survey

In order to conveniently locate available parking spaces in city CBD, Parking Guidance Information System (PGIS) is established to provide real-time parking information to drivers. But locations of PGI signs are mostly selected by subjective experience. The paper presents PGIS application in Xujiahui area of Shanghai, based on parking guidance behavior survey. The amount of guidance information is the objective function. An optimization model is established with three constraints: the total number of PGI signs; 3 parking lots at most are displayed at each intersection approach; and the information of each parking lots involved in PGIS should be displayed on PGI signs at least once. Genetic Algorithm is applied to solve this model. Finally, the scale, locations and their functions of Xujiahui PGI signs can be obtained. The result shows that the model is applicable in practice.