Technical Papers
May 14, 2020

Optimizing Speed Limits Upstream of Freeway Reconstruction and Expansion Work Zones Based on Driver Characteristics

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 7

Abstract

Traffic incidents occurring in freeway work zones mainly include rear-end accidents and roadside accidents, as well as collisions between vehicles and traffic facilities and construction personnel. Speeding is the key factor causing all these incidents. Therefore, in this study, to ensure the construction and traffic safety in the process of freeway reconstruction and expansion, the setting of speed limit signs in a traffic-free flow state upstream of the work zones is investigated. Based on the analysis of the braking and visual characteristics of drivers, two new approaches are proposed for individually calculating the speed limit values and spacing among the gradient speed limit signs (GSLS) upstream of the work zones. Subsequently, these approaches are applied to the reconstruction and expansion engineering project from Jilin to Longjia Airport on the Huiwu Freeway. The research results show that when the design speed is 120  km/h, the maximum daytime speed limit upstream of the freeway reconstruction and expansion work zones is 100  km/h, and it is appropriate to set the speed limit in decrements of 20  km/h; also, the maximum nighttime speed limit is 110  km/h, and it is appropriate to set the speed limit in decrements of 10  km/h. A positive linear relationship exists between the spacing and speed limit values, and the spacing among the nighttime speed limit signs is greater than that for the daytime speed limit signs.

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Data Availability Statement

The data used to support the findings of this study are available from the corresponding author upon request.

Acknowledgments

This study is supported by The National Key Research and Development Program of China (No. 2018YFB1600902), The Ministry of Education (MOE) Layout Foundation of Humanities and Social Sciences (No. 18YJAZH009), and The National Natural Science Foundation of China (No. 51778063).

References

Abdulsattar, H., A. Mostafizi, and H. Wang. 2018. “Surrogate safety assessment of work zone rear-end collisions in a connected vehicle environment: Agent-based modeling framework.” J. Transp. Eng. Part A Syst. 144 (8): 04018038. https://doi.org/10.1061/JTEPBS.0000164.
Al-Darrab, I. A., Z. A. Khan, and S. I. Ishrat. 2009. “An experimental study on the effect of mobile phone conversation on drivers’ reaction time in braking response.” J. Saf. Res. 40 (3): 185–189. https://doi.org/10.1016/j.jsr.2009.02.009.
Boateng, R. A., M. D. Fontaine, and Z. H. Khattak. 2019. “Driver response to variable speed limits on I-66 in Northern Virginia.” J. Transp. Eng. Part A Syst. 145 (6): 04019021. https://doi.org/10.1061/JTEPBS.0000236.
Chen, Y. 2006. The safety analysis and organization and management method study of freeway work zones. [In Chinese.] Harbin, China: Harbin Institute of Technology.
DTMR (Department Transport Main Roads). 2003. Manual of uniform traffic control devices. Brisbane, Australia: DTMR.
Du, S., and S. Razavi. 2019. “Variable speed limit for freeway work zone with capacity drop using discrete-time sliding mode control.” J. Comput. Civ. Eng. 33 (2): 04019001. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000815.
Dudek, C. L. 2004. Changeable message sign operation and messaging handbook. Washington, DC: Federal Highway Administration, Operations Office of Travel Management.
Filtness, A. J., G. Larue, A. Schramm, J. Fuller, A. Rakotonirainy, C. Han, and P. Cairney. 2017. “Safety implications of co-locating road signs: A driving simulator investigation.” Transp. Res. F Traffic Psychol. Behav. 47 (May): 187–198. https://doi.org/10.1016/j.trf.2017.04.007.
Finley, M. D. 2011. “Field evaluation of motorist reactions to reduced work zone speed limits and other work zone conditions.” Transp. Res. Rec. 2258 (1): 40–48. https://doi.org/10.3141/2258-05.
Gao, J., and G. A. Davis. 2017. “Using naturalistic driving study data to investigate the impact of driver distraction on driver’s brake reaction time in freeway rear-end events in car-following situation.” J. Saf. Res. 63 (Dec): 195–204. https://doi.org/10.1016/j.jsr.2017.10.012.
Guo, X. C. 2011. Road traffic safety. [In Chinese.] Nanjing, China: Southeast University Press.
Hadiuzzaman, M., J. Fang, M. A. Karim, Y. Luo, and T. Z. Qiu. 2015. “Modeling driver compliance to VSL and quantifying impacts of compliance levels and control strategy on mobility and safety.” J. Transp. Eng. 141 (12): 04015028. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000795.
Hassan, H. M., M. A. Abdel-Aty, K. Choi, and S. A. Algadhi. 2012. “Driver behavior and preferences for changeable message signs and variable speed limits in reduced visibility conditions.” J. Intell. Transp. Syst. 16 (3): 132–146. https://doi.org/10.1080/15472450.2012.691842.
Hildebrand, E. D., and D. D. Mason. 2014. “Effectiveness of countermeasures to reduce vehicle speeds in freeway work zones.” Can. J. Civ. Eng. 41 (8): 686–694. https://doi.org/10.1139/cjce-2014-0046.
Jiang, J., J. Lu, and N. Li. 2010. “Setting of road guide signs based on driver’s recognition characteristics.” [In Chinese.] J. Southeast Univ. 40 (5): 1089–1092. https://doi.org/10.3969/j.issn.1001- 0505.2010.05.039.
Jin, P. J., J. Fang, X. Jiang, M. DeGaspari, and C. M. Walton. 2017. “Gap metering for active traffic control at freeway merging sections.” J. Intell. Transp. Syst. 21 (1): 1–11. https://doi.org/10.1080/15472450.2016.1157021.
Kageyama, Y., H. Kameya, M. Nishida, and C. Ishizawa. 2013. “Recognition of speed limit signs in night scene images in Japan.” Supplement, IEEJ Trans. Electr. Electron. Eng. 8 (S1): S88–S94. https://doi.org/10.1002/tee.21923.
Khattak, A. J., A. J. Khattak, and F. M. Council. 2002. “Effects of work zone presence on injury and non-injury crashes.” Accid. Anal. Prev. 34 (1): 19–29. https://doi.org/10.1016/S0001-4575(00)00099-3.
Li, Y., H. Wang, W. Wang, S. Liu, and Y. Xiang. 2016. “Reducing the risk of rear-end collisions with infrastructure-to-vehicle (I2V) integration of variable speed limit control and adaptive cruise control system.” Traffic Inj. Prev. 17 (6): 597–603. https://doi.org/10.1080/15389588.2015.1121384.
Li, Z., P. Liu, W. Wang, and C. Xu. 2014. “Development of a control strategy of variable speed limits to reduce rear-end collision risks near freeway recurrent bottlenecks.” IEEE Trans. Intell. Transp. Syst. 15 (2): 866–877. https://doi.org/10.1109/TITS.2013.2293199.
Liu, H., L. Zhang, D. Sun, and D. Wang. 2015. “Optimize the settings of variable speed limit system to improve the performance of freeway traffic.” IEEE Trans. Intell. Transp. Syst. 16 (6): 3249–3257. https://doi.org/10.1109/TITS.2015.2441373.
Lyu, P., Y. Lin, L. Wang, and X. Yang. 2017. “Variable speed limit control for delay and crash reductions at freeway work zone area.” J. Transp. Eng. Part A Syst. 143 (12): 04017062. https://doi.org/10.1061/JTEPBS.0000099.
Mahoney, K. M. 2007. Design of construction work zones on high-speed highways. Washington, DC: Transportation Research Board.
Mekker, M. M., S. M. Remias, W. A. Bunnell, D. W. Krohn, E. D. Cox, and D. M. Bullock. 2016. “Variable speed limit study upstream of an Indiana work zone with vehicle matching.” Transp. Res. Rec. 2555 (1): 53–64. https://doi.org/10.3141/2555-07.
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.
MTPRC (Ministry of Transport of the People’s Republic of China). 2009. Road traffic signs and markings. [In Chinese.] GB5768. Beijing, China: MTPRC.
MTPRC (Ministry of Transport of the People’s Republic of China). 2015. Safety work rules for highway maintenance. [In Chinese.] JTG H30. Beijing, China: MTPRC.
MTPRC (Ministry of Transport of the People’s Republic of China). 2017. Design specification for highway alignment. [In Chinese.] JTG D30. Beijing, China: MTPRC.
Pan, B. H., and T. X. Chen. 2014. “Study on the leading distance of warning signs to ensure horizon in nighttime.” [In Chinese.] J. China Foreign Highway. 34 (2): 326–330. https://doi.org/10.14048/j.issn.1671-2579.2014.02.075.
Qiao, F., J. Jia, L. Yu, Q. Li, and D. Zhai. 2014. “Drivers’ smart assistance system based on radio frequency identification: Enhanced safety and reduced emissions in work zones.” Transp. Res. Rec. 2458 (1): 37–46. https://doi.org/10.3141/2458-05.
Remias, S. M., M. Mekker, M. McNamara, J. R. Sturdevant, E. D. Cox, and D. M. Bullock. 2015. “Assessment of speed limit locations using crowdsourced probe vehicle data.” Transp. Res. Rec. 2484 (1): 10–22. https://doi.org/10.3141/2484-02.
Roberts, C. A., and E. J. Smaglik. 2012. “Driver feedback on monetary penalty and its impact on work zone speed.” Transp. Res. Rec. 2272 (1): 27–34. https://doi.org/10.3141/2272-04.
Scriba, T., P. Sankar, and K. Jeannotte. 2005. Implementing the rule on work zone safety and mobility. Washington, DC: Federal Highway Administration, Office of Operations.
Shin, H., and H. Lee. 2012. “Characteristics of driving reaction time of elderly drivers in the brake pedal task.” J. Phys. Ther. Sci. 24 (7): 567–570. https://doi.org/10.1589/jpts.24.567.
Wang, C., C. Xu, J. Xia, Z. Qian, and L. Lu. 2018. “A combined use of microscopic traffic simulation and extreme value methods for traffic safety evaluation.” Transport. Res. C Emerging. Technol. 90 (May): 281–291. https://doi.org/10.1016/j.trc.2018.03.011.
Wang, W., and Z. Cheng. 2017. “Variable speed limit signs: Control and setting locations in freeway work zones.” J. Adv. Transp. 2017 (4): 4390630. https://doi.org/10.1155/2017/4390630.
Xu, C., Z. Li, Z. Pu, Y. Guo, and P. Liu. 2019. “Procedure for determining the deployment locations of variable speed limit signs to reduce crash risks at freeway recurrent bottlenecks.” IEEE Access 7 (3): 47856–47863. https://doi.org/10.1109/ACCESS.2019.2907181.
Xu, C., Y. Wang, P. Liu, W. Wang, and J. Bao. 2018. “Quantitative risk assessment of freeway crash casualty using high-resolution traffic data.” Reliab. Eng. Syst. Saf. 169 (Jan): 299–311. https://doi.org/10.1016/j.ress.2017.09.005.
Yan, G., M. Yu, S. Shi, and C. Feng. 2017. “The recognition of traffic speed limit sign in hazy weather.” J. Intell. Fuzzy Syst. 33 (2): 873–883. https://doi.org/10.3233/JIFS-162138.
Yang, H., and H. Rakha. 2017. “Feedback control speed harmonization algorithm: Methodology and preliminary testing.” Transp. Res. C Emerging. Technol. 81 (Aug): 209–226. https://doi.org/10.1016/j.trc.2017.06.002.
Yang, X., Y. Lu, and Y. Lin. 2017. “Optimal variable speed limit control system for freeway work zone operations.” J. Comput. Civ. Eng. 31 (1): 04016044. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000610.
Zhang, N. N. 2015. The mechanism research of illumination variation’s influence on driver’s recognition time under dynamic circumstance. [In Chinese.] Hefei, China: Hefei Univ. of Technology.
Zhao, B. Q. 1998. “Driver’s dynamic visual characters and its effects.” [In Chinese.] J. Highway Transp. Res. Dev. 15 (5): 104–106.

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 146Issue 7July 2020

History

Received: Oct 3, 2019
Accepted: Feb 26, 2020
Published online: May 14, 2020
Published in print: Jul 1, 2020
Discussion open until: Oct 14, 2020

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Authors

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Guozhu Cheng [email protected]
Professor, School of Traffic and Transportation, Northeast Forestry Univ., 26 Hexing Rd., Xiangfang District, Harbin 150040, China (corresponding author). Email: [email protected]
Rui Cheng, Ph.D. [email protected]
School of Traffic and Transportation, Northeast Forestry Univ., 26 Hexing Rd., Xiangfang District, Harbin 150040, China. Email: [email protected]

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