Effect of Construction Work Zone on Traffic Stream Parameters Using Vehicular Trajectory Data under Mixed Traffic Conditions
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 6
Abstract
The research work presented is originated with the intent of studying driving behavior, especially in a lateral direction under the influence of construction work activities under prevailing heterogeneous traffic conditions. Initially, a midblock road section is selected, and then macroscopic traffic characteristics were evaluated. Later, Mumbai metro-rail construction work was started on the same road section. As a result, it was planned to study the variation in traffic-flow characteristics for road sections with-and-without construction work zone at microscopic as well as macroscopic levels. For this purpose, video graphic surveys were conducted, and macroscopic characteristics were evaluated for both study sections (with-and-without construction work zone). The results showed that at given flow levels, the stream speeds were dropped from 70 to 50 kph, followed by a drop in efficiency in terms of per-lane capacity. To sense this impact more deeply, vehicular trajectory data were developed over road sections at three different traffic-flow levels. The driving behavior is investigated using different variables, such as longitudinal following behavior, following times, lateral amplitude, and lateral placement, followed by lateral direction correlation analysis. From the investigation, the results show that the following-hysteresis plots for vehicles are found to be slender in a construction work-zone, revealing the conservative approach in driving behavior. Furthermore, following-time analysis also supports the same interpretation. Given the smaller size of vehicles, the vehicle tends to possess extra lateral freedom and hence is responsible for the seeping phenomenon through a porous media in the traffic stream. As an impact of reduced road width, capacity (per-lane) values are found to be higher in the base section than the section having a construction work zone. Further, based on the conceptualized framework, safety in the traffic stream over the study sections was evaluated. Finally, the importance of cautioning drivers the construction work activity in advance was well revealed from the safety analysis of this work.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available from the corresponding author by request, such as.
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Trajectory data
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MATLAB codes
References
Abdelmohsen, A. Z., and K. El-Rayes. 2017. “Optimizing the planning of highway work zones to maximize safety and mobility.” J. Manage. Eng. 34 (1): 04017048. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000570.
Asaithambi, G., and J. Joseph. 2018. “Modeling duration of lateral shifts in mixed traffic conditions.” J. Transp. Eng. Part A 144 (9): 04018055. https://doi.org/10.1061/JTEPBS.0000170.
Benekohal, R. F., A. Z. Kaja-Mohideen, and M. V. Chitturi. 2004. “Methodology for estimating operating speed and capacity in work zones.” Transp. Res. Rec. 1883 (1): 103–111. https://doi.org/10.3141/1883-12.
Bharadwaj, N., P. Edara, C. Sun, H. Brown, and Y. Chang. 2018. “Traffic flow modeling of diverse work zone activities.” Transp. Res. Rec. 2672 (16): 23–34. https://doi.org/10.1177/0361198118758056.
Brilon, W., and J. Lohoff. 2011. “Speed-flow models for freeways.” Procedia Soc. Behav. Sci. 16 (Dec): 26–36. https://doi.org/10.1016/j.sbspro.2011.04.426.
Buisson, C., and C. Ladier. 2009. “Exploring the impact of homogeneity of traffic measurements on the existence of macroscopic fundamental diagrams.” Transp. Res. Rec. 2124 (1): 127–136. https://doi.org/10.3141/2124-12.
Chatterjee, I., P. Edara, S. Menneni, and C. Sun. 2009. “Replication of work zone capacity values in a simulation model.” Transp. Res. Rec. 2130 (1): 138–148. https://doi.org/10.3141/2130-17.
Chen, P. Y., and P. M. Popovich. 2002. Vol. 139 of Correlation: Parametric and nonparametric measures. Thousand Oaks, CA: Sage.
Chien, S. I. J., D. G. Goulias, S. Yahalom, and S. M. Chowdhury. 2002. “Simulation-based estimates of delays at freeway work zones.” J. Adv. Transp. 36 (2): 131–156. https://doi.org/10.1002/atr.5670360202.
Cho, H. J., and Y. T. Wu. 2004. “Modeling and simulation of motorcycle traffic flow.” In Vol. 7 of Proc., 2004 IEEE Int. Conf. on Systems, Man and Cybernetics, 6262–6267. New York: IEEE.
Contreras, P., and F. Murtagh. 2015. “Hierarchical clustering.” In Handbook of cluster analysis, 103–123. Cambridge, MA: Academic Press.
CSIR-CRRI (Council of Scientific and Industrial Research-Central Road Research Institute). 2017. Indian highway capacity manual (Indo-HCM). New Delhi: CSIR-CRRI.
Donmez, B., L. N. Boyle, and J. D. Lee. 2009. “Differences in off-road glances: Effects on young drivers’ performance.” J. Transp. Eng. 136 (5): 403–409. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000068.
Edara, P., J. Kianfar, and C. Sun. 2012. “Analytical methods for deriving work zone capacities from field data.” J. Transp. Eng. 138 (6): 809–818. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000374.
FHWA (Federal Highway Administration). 2007. NGSIM overview. Washington, DC: FHWA.
Gower, J. 1982. “Euclidean distance geometry.” Math. Sci. 7 (1): 1–14.
Harb, R., E. Radwan, X. Yan, A. Pande, and M. Abdel-Aty. 2008. “Freeway work-zone crash analysis and risk identification using multiple and conditional logistic regression.” J. Transp. Eng. 134 (5): 203–214. https://doi.org/10.1061/(ASCE)0733-947X(2008)134:5(203).
Heaslip, K., A. Kondyli, D. Arguea, L. Elefteriadou, and F. Sullivan. 2009. “Estimation of freeway work zone capacity through simulation and field data.” Transp. Res. Rec. 2130 (1): 16–24. https://doi.org/10.3141/2130-03.
Hou, Y., P. Edara, and C. Sun. 2013. “Speed limit effectiveness in short-term rural interstate work zones.” Transp. Lett. 5 (1), 8–14.
Kanagaraj, V., G. Asaithambi, T. Toledo, and T. C. Lee. 2015. “Trajectory data and flow characteristics of mixed traffic.” Transp. Res. Rec. 2491 (1): 1–11. https://doi.org/10.3141/2491-01.
Karim, A., and H. Adeli. 2003. “CBR model for freeway work zone traffic management.” J. Transp. Eng. 129 (2): 134–145. https://doi.org/10.1061/(ASCE)0733-947X(2003)129:2(134).
Khattak, A. J., A. J. Khattak, and F. M. Council. 2002. “Effects of work zone presence on injury and non-injury crashes.” Acc. Anal. Prev. 34 (1): 19–29. https://doi.org/10.1016/S0001-4575(00)00099-3.
Kumar, P., N. Raju, A. Mishra, S. S. Arkatkar, and G. Joshi. 2018. “Validating area occupancy-based passenger car units and homogeneous equivalent concept under mixed traffic conditions in India.” J. Transp. Eng. Part A 144 (10): 04018064. https://doi.org/10.1061/JTEPBS.0000184.
Lee Rodgers, J., and W. A. Nicewander. 1988. “Thirteen ways to look at the correlation coefficient” Am. Statistician 42 (1): 59–66. https://doi.org/10.1080/00031305.1988.10475524.
Lehtonen, E., O. Lappi, H. Kotkanen, and H. Summala. 2013. “Look-ahead fixations in curve driving” Ergonomics 56 (1): 34–44. https://doi.org/10.1080/00140139.2012.739205.
Li, Y., and Y. Bai. 2008. “Development of crash-severity-index models for the measurement of work zone risk levels.” Accid. Anal. Prev. 40 (5): 1724–1731. https://doi.org/10.1016/j.aap.2008.06.012.
Li, Y., and Y. Bai. 2009. “Effectiveness of temporary traffic control measures in highway work zones.” Saf. Sci. 47 (3): 453–458. https://doi.org/10.1016/j.ssci.2008.06.006.
Liu, H. X., J. X. Ban, W. Ma, and P. B. Mirchandani. 2007. “Model reference adaptive control framework for real-time traffic management under emergency evacuation.” J. Urban Plann. Dev. 133 (1): 43–50. https://doi.org/10.1061/(ASCE)0733-9488(2007)133:1(43).
Luo, Y., B. Jia, J. Liu, W. H. Lam, X. Li, and Z. Gao. 2015. “Modeling the interactions between car and bicycle in heterogeneous traffic.” J. Adv. Transp. 49 (1): 29–47. https://doi.org/10.1002/atr.1257.
Maurya, A. K., and P. S. Bokare. 2012. “Study of deceleration behaviour of different vehicle types.” Int. J. Traffic Transp. Eng. 2 (3): 253–270. https://doi.org/10.7708/ijtte.2012.2(3).07.
McAvoy, D. S., K. L. Schattler, and T. K. Datta. 2007. “Driving simulator validation for nighttime construction work zone devices” Transp. Res. Rec. 2015 (1): 55–63. https://doi.org/10.3141/2015-07.
Miller, L., F. Mannering, and D. M. Abraham. 2009. “Effectiveness of speed control measures on nighttime construction and maintenance projects” J. Constr. Eng. Manage. 135 (7): 614–619. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000018.
Mori, M., C. Miyajima, P. Angkititrakul, T. Hirayama, Y. Li, N. Kitaoka, and K. Takeda. 2012. “Measuring driver awareness based on correlation between gaze behavior and risks of surrounding vehicles.” In Proc., 2012 15th Int. IEEE Conf. on Intelligent Transportation Systems, 644–647. New York: IEEE.
Morris, B., and M. Trivedi. 2009. “Unsupervised learning of motion patterns of rear surrounding vehicles.” In Proc., 2009 IEEE Int. Conf. on Vehicular Electronics and Safety (ICVES), 80–85. New York: IEEE.
Munigety, C. R., and T. V. Mathew. 2016. “Towards behavioral modeling of drivers in mixed traffic conditions” Transp. Dev. Econ. 2 (1): 6. https://doi.org/10.1007/s40890-016-0012-y.
Ponnu, B., S. Narula, S. S. Arkatkar, and S. Velmurugan. 2015. “Lane usage, following behavior, and time-gap models for a multi-lane freeway in India.” Transp. Lett. 7 (1): 14–23. https://doi.org/10.1179/1942787514Y.0000000026.
Raju, N., S. S. Arkatkar, and G. Joshi. 2018. “Examining effect of bottleneck on multi-lane roads at midblock sections using simulation.” In Proc., ASCE India Conf. 2017American Society of Civil Engineers. Delhi, India: Indian Institute of Technology Delhi.
Raju, N., S. S. Arkatkar, and G. Joshi. 2019a. “Replicating driving behavior under heterogeneous non-lane-based traffic environment: A supervised machine learning based methodology.” J. East. Asia Soc. Transp. Stud. 13 (1): 1801–1816.
Raju, N., S. S. Arkatkar, and G. Joshi. 2019b. “Methodological framework for modeling following behavior of vehicles under Indian traffic scenario.” In Innovative research in transportation infrastructure, 1–11. New York: Springer.
Raju, N., P. Kumar, S. Arkatkar, and G. Joshi. 2019c. “Determining risk-based safety thresholds through naturalistic driving patterns using trajectory data on intercity expressways.” Saf. Sci. 119 (Nov): 117–125. https://doi.org/10.1016/j.ssci.2019.01.017.
Sanford Bernhardt, K. L., M. R. Virkler, and N. M. Shaik. 2001. “Evaluation of supplementary traffic control measures for freeway work-zone approaches.” Transp. Res. Rec. 1745 (1): 10–19. https://doi.org/10.3141/1745-02.
Siddiqui, C., M. Abdel-Aty, and H. Huang. 2012. “Aggregate nonparametric safety analysis of traffic zones.” Accid. Anal. Prev. 45 (Mar): 317–325. https://doi.org/10.1016/j.aap.2011.07.019.
Venugopal, S., and A. Tarko. 2000. “Safety models for rural freeway work zones” Transp. Res. Rec. 1715 (1): 1–9. https://doi.org/10.3141/1715-01.
Vicraman, V., C. Ronald, T. Mathew, and K. V. Rao. 2014. Traffic data extractor. Powai, Mumbai: Indian Institute of Technology Bombay.
Von der Heiden, N., and J. Geistefeldt. 2016. “Capacity of freeway work zones in Germany.” Transp. Res. Procedia 15 (Dec): 233–244. https://doi.org/10.1016/j.trpro.2016.06.020.
Weng, J., and Q. Meng. 2011a. “Analysis of driver casualty risk for different work zone types.” Accid. Anal. Prev. 43 (5): 1811–1817. https://doi.org/10.1016/j.aap.2011.04.016.
Weng, J., and Q. Meng. 2011b. “Decision tree-based model for estimation of work zone capacity.” Transp. Res. Rec. 2257 (1): 40–50. https://doi.org/10.3141/2257-05.
Weng, J., and Q. Meng. 2013. “Estimating capacity and traffic delay in work zones: An overview.” Transp. Res. Part C 35 (Oct): 34–45. https://doi.org/10.1016/j.trc.2013.06.005.
Weng, J., and X. Yan. 2014. “New methodology to determine work zone capacity distribution.” Transp. Res. Rec. 2461 (1): 25–31. https://doi.org/10.3141/2461-04.
Wiedemann, R. 1974. Simulation des Straßenverkehrsflusses. 1974th ed. Stuttgart, Germany: Universität Stuttgart.
Xu, Z., X. Kuan Yang, X. Hua Zhao, and L. Jie Li. 2012. “Differences in driving characteristics between normal and emergency situations and model of car-following behavior.” J. Transp. Eng. 138 (11): 1303–1313. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000434.
Yang, H., K. Ozbay, O. Ozturk, and M. Yildirimoglu. 2013. “Modeling work zone crash frequency by quantifying measurement errors in work zone length.” Accid. Anal. Prev. 55 (Mar): 192–201. https://doi.org/10.1016/j.aap.2013.02.031.
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Published In
Journal of Transportation Engineering, Part A: Systems
Volume 146 • Issue 6 • June 2020
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©2020 American Society of Civil Engineers.
History
Received: Dec 4, 2018
Accepted: Nov 8, 2019
Published online: Mar 23, 2020
Published in print: Jun 1, 2020
Discussion open until: Aug 23, 2020
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