交通信息与安全2017，Vol.35Issue(3)：34-42,9.DOI:10.3963/j.issn.1674-4861.2017.03.005
基于出租车GPS数据的城市次干道阻抗函数研究
A Study on Impedance Function of City Secondary Road Based on Taxi GPS Data
摘要
Abstract
Reasonable, accurate, and real-time impedance functions are prerequisites for dynamic traffic induction of urban roads, which is also a classical problem in traffic planning.At present, there are few studies on the dynamic changes of traffic capacity and impedance function of city secondary road, especially under influences of illegal parking.For massive taxi GPS data from Wuhan, a screening strategy of massive GPS data for different road scenarios and taxi operation statuses are put forward to calculate travel time.Smats portable Bluetooth and Wi-Fi scanner equipments are used to collect traffic flow.According to the working principle of the equipments, a corrective method for error data is developed, and then the correspondence between actual data of traffic flow and experimental data is obtained.At last, the changing regulation of road traffic capacity under illegal parking is introduced into BPR impedance function, and its coefficients are calibrated by actual data.The accuracy of the function is verified.Compared with the traditional BPR method, the results show that the mean error of the recalibration BPR method is reduced from 26.1 s to 6.8 s.关键词
城市交通/道路阻抗函数/非法停车/回归分析/出租车GPS数据Key words
urban traffic/road impedance function/illegal parking/regression analysis/taxi GPS data分类
交通工程引用本文复制引用
周林,马晓凤,钟鸣..基于出租车GPS数据的城市次干道阻抗函数研究[J].交通信息与安全,2017,35(3):34-42,9.基金项目
国家自然科学基金项目(51678461)资助 （51678461）
