Traffic Volume Forecast of Parking Lot Entrance and Exit Roads

Author:

Wang Xiantong

Abstract

As people's living standards improve, commercial plaza development also more and more quickly, commercial plaza and the surrounding areas of transport vehicles, in the parking lot entrances and exits of highway road traffic conditions, the parking lot entrances and exits of low traffic capacity and traffic organization chaos (motor vehicles, electric vehicles and the status of the bicycle traffic complex). It is necessary to predict the traffic volume of the entrance and exit roads of the parking lot. In ningyang county lingyun building as an example, through direct observation records investigation parking lot parking condition and facilities, analysis of traffic organization form of the parking lot entrances, investigate the status of the parking lot entrance road and surrounding roads, using artificial paper counting method to collect parking entrance road traffic flow, speed and other data, The time series moving average and exponential smoothing are used to predict the traffic volume at the entrance and exit of the parking lot. The prediction results show that the two methods are suitable for the parking lot entrance traffic volume prediction, and the moving average method is more accurate than the exponential smoothing method, which is closer to the actual value.

Publisher

Darcy & Roy Press Co. Ltd.

Reference10 articles.

1. Lin Jianhui, Su Yang, Shi Zhenhao. Road traffic flow prediction method based on ARIMA model and its application [C]//.Proceedings of 2012 2nd International Conference on Aerospace Engineering and Information Technology(AEIT 2012 V2).,2012:108-113.

2. Tang Lina, Zhang Weihua. Comparison of short-term Traffic flow forecasting methods [J]. Traffic Science and Economics, 2008 (02): 100-102.

3. Yang Lei. Research and Evaluation of Parking lot Traffic Safety [D]. Southwest Jiaotong University,2008.

4. Yue Xianjun, Wang Xufeng. Analysis of traffic capacity of underground parking lot of commercial square [J]. Journal of Shandong Jiaotong University,2018,26(04):26-31

5. Aly Hassan; Mohamed Maher Shahin; Mahmoud Morsy. Area traffic capacity in centeral areas – Alexandria city center as a case study. Alexandria Engineering Journal Volume 50, Issue 4. 2011. PP 367-380

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