An Analysis of the Interactions between Adjustment Factors of Saturation Flow Rates at Signalized Intersections
An insufficient functional relationship between adjustment factors and saturation flow rate (SFR) in the U.S. Highway Capacity Manual (HCM) method increases an additional prediction bias. The error of SFR predictions can reach 8−10%. To solve this problem, this paper proposes a comprehensi...
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doaj-78e0e4d7b20d49d896ccfc03152eab7c2020-11-25T03:30:24ZengMDPI AGSustainability2071-10502020-01-0112266510.3390/su12020665su12020665An Analysis of the Interactions between Adjustment Factors of Saturation Flow Rates at Signalized IntersectionsYi Wang0Jian Rong1Chenjing Zhou2Xin Chang3Siyang Liu4Beijing Key Laboratory of Traffic Engineering, Beijing Engineering Research Center of Urban Transport Operation Guarantee, Beijing University of Technology, Beijing 100124, ChinaBeijing Key Laboratory of Traffic Engineering, Beijing Engineering Research Center of Urban Transport Operation Guarantee, Beijing University of Technology, Beijing 100124, ChinaSchool of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaBeijing Key Laboratory of Traffic Engineering, Beijing Engineering Research Center of Urban Transport Operation Guarantee, Beijing University of Technology, Beijing 100124, ChinaBeijing Key Laboratory of Traffic Engineering, Beijing Engineering Research Center of Urban Transport Operation Guarantee, Beijing University of Technology, Beijing 100124, ChinaAn insufficient functional relationship between adjustment factors and saturation flow rate (SFR) in the U.S. Highway Capacity Manual (HCM) method increases an additional prediction bias. The error of SFR predictions can reach 8−10%. To solve this problem, this paper proposes a comprehensive adjusted method that considers the effects of interactions between factors. Based on the data from 35 through lanes in Beijing and 25 shared through and left-turn lanes in Washington, DC, the interactions between lane width and percentage of heavy vehicles and proportion of left-turning vehicles were analyzed. Two comprehensive adjustment factor models were established and tested. The mean absolute percentage error (MAPE) of model 1 (considering the interaction between lane width and percentage of heavy vehicles) was 4.89% smaller than the MAPE of Chinese National Standard method (Standard Number is GB50647) at 13.64%. The MAPE of model 2 (considering the interaction between lane width and proportion of left-turning vehicles was 33.16% smaller than the MAPE of HCM method at 14.56%. This method could improve the accuracy of SFR prediction, provide support for traffic operation measures, alleviate the traffic congestion, and improve sustainable development of cities.https://www.mdpi.com/2071-1050/12/2/665signalized intersectionsadjustment factorspercentage of heavy vehicleslane widthproportion of left-turning vehiclesinteractions |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yi Wang Jian Rong Chenjing Zhou Xin Chang Siyang Liu |
spellingShingle |
Yi Wang Jian Rong Chenjing Zhou Xin Chang Siyang Liu An Analysis of the Interactions between Adjustment Factors of Saturation Flow Rates at Signalized Intersections Sustainability signalized intersections adjustment factors percentage of heavy vehicles lane width proportion of left-turning vehicles interactions |
author_facet |
Yi Wang Jian Rong Chenjing Zhou Xin Chang Siyang Liu |
author_sort |
Yi Wang |
title |
An Analysis of the Interactions between Adjustment Factors of Saturation Flow Rates at Signalized Intersections |
title_short |
An Analysis of the Interactions between Adjustment Factors of Saturation Flow Rates at Signalized Intersections |
title_full |
An Analysis of the Interactions between Adjustment Factors of Saturation Flow Rates at Signalized Intersections |
title_fullStr |
An Analysis of the Interactions between Adjustment Factors of Saturation Flow Rates at Signalized Intersections |
title_full_unstemmed |
An Analysis of the Interactions between Adjustment Factors of Saturation Flow Rates at Signalized Intersections |
title_sort |
analysis of the interactions between adjustment factors of saturation flow rates at signalized intersections |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2020-01-01 |
description |
An insufficient functional relationship between adjustment factors and saturation flow rate (SFR) in the U.S. Highway Capacity Manual (HCM) method increases an additional prediction bias. The error of SFR predictions can reach 8−10%. To solve this problem, this paper proposes a comprehensive adjusted method that considers the effects of interactions between factors. Based on the data from 35 through lanes in Beijing and 25 shared through and left-turn lanes in Washington, DC, the interactions between lane width and percentage of heavy vehicles and proportion of left-turning vehicles were analyzed. Two comprehensive adjustment factor models were established and tested. The mean absolute percentage error (MAPE) of model 1 (considering the interaction between lane width and percentage of heavy vehicles) was 4.89% smaller than the MAPE of Chinese National Standard method (Standard Number is GB50647) at 13.64%. The MAPE of model 2 (considering the interaction between lane width and proportion of left-turning vehicles was 33.16% smaller than the MAPE of HCM method at 14.56%. This method could improve the accuracy of SFR prediction, provide support for traffic operation measures, alleviate the traffic congestion, and improve sustainable development of cities. |
topic |
signalized intersections adjustment factors percentage of heavy vehicles lane width proportion of left-turning vehicles interactions |
url |
https://www.mdpi.com/2071-1050/12/2/665 |
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