Design Optimization and Statistical Analysis of Parking Characteristics in a Commercial Area of Chandigarh

The spectacular growth of vehicles has brought with it problems of congestion, accidents, parking delays, and environmental degradation. In today's auto-mobile-oriented communities, the issue of parking is critical. The efficient operation of an automobile not only necessitates a well-designed system of roads, but also suitable parking facilities to park at destinations. In the absence of any restrictions, long-time parkers have decreased the parking turnover, increasing the accumulation and congestion, with an average parking index of 166.5%. The accumulation data is obtained by counting the number of vehicles coming in and going out on weekdays with the timing of the study kept between 09:00 am to 09:00 pm. The study focuses on the parking service duration. Linear regression is done to predict the peak hour traffic with respect to four-wheelers. As a result, an optimization formula based on the revenue generation model is used for designing parking lots that consider arrival rate as a function of parking charge and the number of filled spaces designed to optimize. The analysis reveals how to improve On-street parking discipline in terms of the availability of parking spaces and the level of their use if it were paid parking. The model summary provides a high degree of coefficient of variation, with R2 values of 0.994 and 0.735 for non-peak hour and peak hour, respectively, hence establishing a high goodness of fit.