Browse > Article
http://dx.doi.org/10.12652/Ksce.2021.41.2.0133

Estimation of Probe Vehicle Penetration Rates on Multi-Lane Streets Using the Locations of Probe Vehicles in Queues at Signalized Intersections  

Moh, Daesang (Seoul National University)
Lee, Jaehyeon (Seoul National University)
Kim, Sunho (Seoul National University)
Lee, Chungwon (Seoul National University)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.41, no.2, 2021 , pp. 133-141 More about this Journal
Abstract
The probe vehicle penetration rate is a required parameter in the estimation of entire volume, density, and queue length from probe vehicle data. The previous studies have proposed estimation methods without point detectors, which are based on probability structures for the locations of probe and non-probe vehicles; however, such methods are poorly suited to the case of multi-lane streets. Therefore, this study aimed to estimate the probe vehicle penetration rate at a multi-lane intersection and introduce a probability distribution of the queue length of each lane. Although a gap between estimates and observations was found, the estimates followed the trend of observations; the estimation could be improved by the correction factor hereafter. This study is expected to be used as a basic study for the estimation of entire volume, density, and queue length at multi-lane intersections without point detectors.
Keywords
Probe vehicle; Penetration rate; Multi-lane street; Signalized intersection;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 Dixit, V. V. and Geroliminis, N. (2015). "Empirical investigation of dynamics of the two-fluid model and macroscopic fundamental diagram with probe vehicles." Transportation Research Board 94th Annual Meeting, TRB, Washington DC, United States, pp. 1-23.
2 Du, J., Rakha, H. and Gayah, V. V. (2016). "Deriving macroscopic fundamental diagrams from probe data: Issues and proposed solutions." Transportation Research Part C: Emerging Technologies, Vol. 66, pp. 136-149.   DOI
3 Feng, Y., Head, K. L., Khoshmagham, S. and Zamanipour, M. (2015). "A real-time adaptive signal control in a connected vehicle environment." Transportation Research Part C: Emerging Technologies, Vol. 55, pp. 460-473.   DOI
4 Gerlough, D. L. and Huber, M. J. (1975). Traffic flow theory: A monograph, Special Report 165, Transportation Research Board, National Research Council, Washington, DC.
5 Geroliminis, N. and Daganzo, C. F. (2008). "Existence of urbanscale macroscopic fundamental diagrams: Some experimental findings." Transportation Research Part B: Methodological, Vol. 42, No. 9, pp. 759-770.   DOI
6 Guler, S. I., Menendez, M. and Meier, L. (2014). "Using connected vehicle technology to improve the efficiency of intersections." Transportation Research Part C: Emerging Technologies, Vol. 46, pp. 121-131.   DOI
7 Han, M. J. (2016). Modeling pedestrian movement behavior based on decision making process, Ph.D. Dissertation, Seoul National University (in Korean).
8 Jang, J. H. and Kim. B. H. (2011). "Detector evaluation scheme including the concept of confidence interval in statistics." The Journal of The Korea Institute of Intelligent Transport Systems, KITS, Vol. 10, No. 1, pp. 67-75 (in Korean).
9 Jeong, Y. T. and Jung, H. Y. (2014a). "A study on improving the reliability of DSRC traffic information considering traffic and road characteristics -Focusing on Busan urban expressway-." Journal of the Korean Society of Civil Engineers, KSCE, Vol. 34, No. 5, pp. 1535-1545 (in Korean).   DOI
10 Jeong, Y. T. and Jung, H. Y. (2014b). "A study on calculation of sectional travel speeds of the interrupted traffic flow with the consideration of the characteristics of probe data." Journal of the Korean Society of Civil Engineers, KSCE, Vol. 34, No. 6, pp. 1851-1861 (in Korean).   DOI
11 Kim, J. W., Jeong, H. R., Kang, S. K. and Yun, I. S. (2019). "Rate of probe vehicles for the collection of traffic information on expressways." The Journal of The Korea Institute of Intelligent Transport Systems, KITS, Vol. 18, No. 6, pp. 262-274 (in Korean).   DOI
12 Kho, S. Y. (2002). "A model development of prove cars for travel time data collection." Journal of Korean Society of Transportation, KST, Vol. 20, No. 4, pp. 177-185 (in Korean).
13 Kim, D. S. (2011). Parameter estimation and elasticity analysis of gravity model by using public transport card data, Master Dissertation, Chonnam National University (in Korean).
14 Kim, H. J. and Jang, K. T. (2013). "Short-term prediction of travel time using DSRC on highway." Journal of the Korean Society of Civil Engineers, KSCE, Vol. 33, No. 6, pp. 2465-2471 (in Korean).   DOI
15 Kwon, Y. B., Lee, J. H., Kim, S. H. and Lee, C. W. (2019). "A new approach to the parameter calibration of two-fluid model." Journal of the Korean Society of Civil Engineers, KSCE, Vol. 39, No. 1, pp. 63-71 (in Korean).   DOI
16 Lee, J. H., Moh, D. S., Kim, S. H. and Lee, C. W. (2020). "Analysis of urban network operability and crash risk change cased by rainfall using two-fluid model parameters." Journal of the Korean Society of Civil Engineers, KSCE, No. 40, No. 2, pp. 167-175 (in Korean).   DOI
17 Lee, Y. W. (2013). "A study on estimating route travel time using collected data of bus information system." Journal of the Korean Society of Civil Engineers, KSCE, Vol. 33, No. 3, pp. 1115-1122 (in Korean).   DOI
18 Lee, Y. I. and Lee, J. H. (2002). "A study on link travel time estimating methodology for traffic information service (determining of an adequate sample size)." Journal of Korean Society of Transportation, KST, Vol. 20, No. 3, pp. 55-67 (in Korean).
19 Na, S. Y., Lee, S. J., Ahn, S. H. and Kim, J. Y. (2018). "A study on the estimation of the V2X-rate ratio for the collection of highway traffic information." The Journal of The Korea Institute of Intelligent Transport Systems, KITS, Vol. 17, No. 1, pp. 71-78 (in Korean).   DOI
20 Lu, S., Wang, J., van Zuylen, H. and Liu, X. (2013). "Deriving the macroscopic fundamental diagram for an urban area using counted flows and taxi GPS." 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), IEEE, The Hague, Netherlands, pp. 184-188.
21 Nagle, A. S. and Gayah, V. V. (2013). "A method to estimate the macroscopic fundamental diagram using limited mobile probe data." 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), IEEE, The Hague, Netherlands, pp. 1987-1992.
22 Park, M. K. and Park, B. H. (2013). "Development of pedestrian accident model in Cheongju." 68th Conference of Korean Society of Transportation, KST, pp. 150-154 (in Korean).
23 Punzo, V. and Simonelli, F. (2005). "Analysis and comparison of microscopic traffic flow models with real traffic microscopic data." Transportation Research Record: Journal of the Transportation Research Board, Vol. 1934, No. 1, pp. 53-63.   DOI
24 Quiroga, C. A. and Bullock, D. (1998). "Travel time studies with global positioning and geographic information systems: An integrated methodology." Transportation Research Part C: Emerging Technologies, Vol. 6, No. 1-2, pp. 101-127.   DOI
25 Shim, J. S., Heo, H. M., Eom, K. J., Lee, C. W. and Ahn, S. H. (2010). "An application of sampling to determine a proper rate of probe vehicles for macroscopic traffic flow monitoring indices." The Journal of The Korea Institute of Intelligent Transport Systems, KITS, Vol. 9, No. 2, pp. 33-40 (in Korean).
26 Wong, W., Shen, S., Zhao, Y. and Liu, H. X. (2019). "On the estimation of connected vehicle penetration rate based on single-source connected vehicle data." Transportation Research Part B: Methodological, Vol. 126, pp. 169-191.   DOI
27 Shin, K. W., Shim, S. W., Choi, K. C. and Kim, S. H. (2014). "Expressway travel time prediction using K-Nearest neighborhood." Journal of the Korean Society of Civil Engineers, KSCE, Vol. 34, No. 6, pp. 1873-1879 (in Korean).   DOI
28 Sim, S. W. and Choi, K. C. (2006). "Link travel time estimation using uncompleted link-passing GPS probe data in congested traffic condition." Journal of Korean Society of Transportation, KST, Vol. 24, No. 5, pp. 7-18 (in Korean).
29 Theil, H. (1958). Economic forecasts and policy, North Holland Publishing Company, Amsterdam, Netherlands.
30 Zhao, Y., Zheng, J., Wong, W., Wang, X., Meng, Y. and Liu, H. X. (2019a). "Estimation of queue lengths, probe vehicle penetration rates, and traffic volumes at signalized intersections using probe vehicle trajectories." Transportation Research Record: Journal of the Transportation Research Board, Vol. 2673, No. 11, pp. 660-670.   DOI
31 Zhao, Y., Zheng, J., Wong, W., Wang, X., Meng, Y. and Liu, H. X. (2019b). "Various methods for queue length and traffic volume estimation using probe vehicle trajectories." Transportation Research Part C: Emerging Technologies, Vol. 107, pp. 70-91.   DOI
32 Zheng, J. and Liu, H. X. (2017). "Estimating traffic volumes for signalized intersections using connected vehicle data." Transportation Research Part C: Emerging Technologies, Vol. 79, pp. 347-362.   DOI
33 Chen, M. and Chien, S. I. J. (2000). "Determining the number of probe vehicles for freeway travel time estimation by microscopic simulation." Transportation Research Record: Journal of the Transportation Research Board, Vol. 1719, No. 1, pp. 61-68.   DOI
34 Ambuhl, L. and Menendez, M. (2016). "Data fusion algorithm for macroscopic fundamental diagram estimation." Transportation Research Part C: Emerging Technologies, Vol. 71, pp. 184-197.   DOI
35 Argote-Cabanero, J., Christofa, E. and Skabardonis, A. (2015). "Connected vehicle penetration rate for estimation of arterial measures of effectiveness." Transportation Research Part C: Emerging Technologies, Vol. 60, pp. 298-312.   DOI
36 Chang, H. H. and Yoon B. J. (2017). "Forecasting of motorway path travel time by using DSRC and TCS information." Journal of the Korean Society of Civil Engineers, KSCE, Vol. 37, No. 6, pp. 1033-1041 (in Korean).   DOI
37 Cheu, R. L., Xie, C. and Lee, D. H. (2002). "Probe vehicle population and sample size for arterial speed estimation." Computer-Aided Civil and Infrastructure Engineering, Vol. 17, No. 1, pp. 53-60.   DOI
38 Chung, Y. S. and Choi, K. C. (1999). "A development of travel time estimation algorithm fusing GPS probe and loop detector." Journal of Korean Society of Transportation, KST, Vol. 17, No. 3, pp. 97-116 (in Korean).
39 Comert, G. (2013). "Simple analytical models for estimating the queue lengths from probe vehicles at traffic signals." Transportation Research Part B: Methodological, Vol. 55, pp. 59-74.   DOI
40 Comert, G. (2016). "Queue length estimation from probe vehicles at isolated intersections: estimators for primary parameters." European Journal of Operational Research, Vol. 252, No. 2, pp. 502-521.   DOI
41 Comert, G. and Cetin, M. (2009). "Queue length estimation from probe vehicle location and the impacts of sample size." European Journal of Operational Research, Vol. 197, No. 1, pp. 196-202.   DOI