Monitoring method reconfiguration of expressway transportation volume after significant adjustment of toll collection mode

被引:0
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作者
Yan, Sheng-Yu [1 ]
Sun, Ke-Xin [1 ]
Wen, Fu-Hua [1 ]
Xiao, Run-Mou [1 ]
机构
[1] School of Automobile, Chang'an University, Shaanxi, Xi'an,710018, China
关键词
The new changes in the data structure of expressway network toll collection were clarified; and the index system of transportation volume monitoring (TVM) was improved. In view of the serious reduction in the reliability of gross mass and vehicle type identification data; the method of TVM was reconfigured. The 29×29 interprovincial passenger transport and freight transport exchange matrix was established; and the regional transportation volume rates of the economic zones of Jing-Jin-Ji; Yangtze River Delta; and Pearl River Delta were analyzed. The investigation method of the cardinal number of transportation volume statistics and the elimination method of interference factors in speed statistics under new situation were proposed. By comparing the year-on-year (YoY) growth rates of transport volume from 2009 to 2019 with the average annual growth rates from 2019 to 2021; the feasibility and continuity of the method of TVM were verified; and the characteristics of the whole route within and across the province for passenger trips and freight distance were analyzed. Analysis results show that the average YoY increase rates of freight volume and freight turnover from 2009 to 2019 have a deviation of 2.59% and 2.19% from the average annual growth rates from 2019 to 2021. The proportions of the average annual growth rates of passenger transport volume and passenger turnover of Class 1 cars from 2019 to 2021 in total passenger transport volume and passenger turnover are 0.32% and 0.25% higher than the average YoY growth rates from 2009 to 2019; respectively. It proves that the reconfigured method of TVM is feasible; and the indicator continuity is good. The electronic toll collection (ETC) passenger car and truck flow limited to 206 km within the province can effectively eliminate the interference factors in speed statistics; and the average speeds of passenger cars and trucks increase by 1.76% and 10.38%; respectively. According to the full path data of vehicles in 2021; 88.86% of passenger trips and 81.67% of freight distances are concentrated within 200 km. The passenger trips and freight distances within 200 km are concentrated within 50 km; with concentration rates of 58.09%-67.76%. After the adjustment of the toll collection mode; the freight distance of Class 3 trucks within the province increases by 9.06%; and those of other class trucks within the province decrease by 6.27%-16.81%. The freight distance of Class 6 trucks across the province decreases by 4.60%; and those of other class trucks increase by 3.21%-8.89%. © 2024 Chang'an University. All rights reserved;
D O I
10.19818/j.cnki.1671-1637.2024.05.017
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页码:259 / 269
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