461
Views
23
Downloads
17
Crossref
N/A
WoS
18
Scopus
N/A
CSCD
This study aims to investigate the safety effects of work zone advisory systems. The traditional system includes a dynamic message sign (DMS), whereas the advanced system includes an in-vehicle work zone warning application under the connected vehicle (CV) environment.
A comparative analysis was conducted based on the microsimulation experiments.
The results indicate that the CV-based warning system outperforms the DMS. From this study, the optimal distances of placing a DMS varies according to different traffic conditions. Nevertheless, negative influence of excessive distance DMS placed from the work zone would be more obvious when there is heavier traffic volume. Thus, it is recommended that the optimal distance DMS placed from the work zone should be shortened if there is a traffic congestion. It was also revealed that higher market penetration rate of CVs will lead to safer network under good traffic conditions.
Because this study used only microsimulation, the results do not reflect the real-world drivers’ reactions to DMS and CV warning messages. A series of driving simulator experiments need to be conducted to capture the real driving behaviors so as to investigate the unresolved-related issues. Human machine interface needs be used to simulate the process of in-vehicle warning information delivery. The validation of the simulation model was not conducted because of the data limitation.
It suggests for the optimal DMS placement for improving the overall efficiency and safety under the CV environment.
A traffic network evaluation method considering both efficiency and safety is proposed by applying traffic simulation.
This study aims to investigate the safety effects of work zone advisory systems. The traditional system includes a dynamic message sign (DMS), whereas the advanced system includes an in-vehicle work zone warning application under the connected vehicle (CV) environment.
A comparative analysis was conducted based on the microsimulation experiments.
The results indicate that the CV-based warning system outperforms the DMS. From this study, the optimal distances of placing a DMS varies according to different traffic conditions. Nevertheless, negative influence of excessive distance DMS placed from the work zone would be more obvious when there is heavier traffic volume. Thus, it is recommended that the optimal distance DMS placed from the work zone should be shortened if there is a traffic congestion. It was also revealed that higher market penetration rate of CVs will lead to safer network under good traffic conditions.
Because this study used only microsimulation, the results do not reflect the real-world drivers’ reactions to DMS and CV warning messages. A series of driving simulator experiments need to be conducted to capture the real driving behaviors so as to investigate the unresolved-related issues. Human machine interface needs be used to simulate the process of in-vehicle warning information delivery. The validation of the simulation model was not conducted because of the data limitation.
It suggests for the optimal DMS placement for improving the overall efficiency and safety under the CV environment.
A traffic network evaluation method considering both efficiency and safety is proposed by applying traffic simulation.
Abdulsattar, H., Mostafizi, A. and Wang, H. (2018), “Surrogate safety assessment of work zone rear-end collisions in a connected vehicle environment: agent-based modeling framework”, Journal of Transportation Engineering, Part A: Systems, Vol. 144 No. 8, p. 4018038
Ardeshiri, A. and Jeihani, M. (2014), “A speed limit compliance model for dynamic speed display sign”, Journal of Safety Research, Vol. 51, pp. 33-40.
Bella, F. (2005), “Validation of a driving simulator for work zone design”, Transportation Research Record: Journal of the Transportation Research Board, Vol. 1937 No. 1, pp. 136-144.
Blackman, R., Debnath, A. and Haworth, N. (2014), “Work zone items influencing driver speeds at roadworks: worker, driver and expert perspectives”, In Proceedings of the 2014 Australasian Road Safety Research, Policing and Education Conference: Australasian College of Road Safety (ACRS), pp. 1-11.
Brewer, M.A., Pesti, G. and Schneider, I.V., W. (2006), “Improving compliance with work zone speed limits: effectiveness of selected devices”, Transportation Research Record: Journal of the Transportation Research Board, Vol. 1948 No. 1, pp. 67-76.
Debnath, A.K., Blackman, R. and Haworth, N. (2015), “Common hazards and their mitigating measures in work zones: a qualitative study of worker perceptions”, Safety Science, Vol. 72, pp. 293-301.
Genders, W. and Razavi, S.N. (2016), “Impact of connected vehicle on work zone network safety through dynamic route guidance”, Journal of Computing in Civil Engineering, Vol. 30 No. 2, p. 4015020
Hassan, H.M., Abdel-Aty, M.A., Choi, K. and Algadhi, S.A. (2012), “Driver behavior and preferences for changeable message signs and variable speed limits in reduced visibility conditions”, Journal of Intelligent Transportation Systems, Vol. 16 No. 3, pp. 132-146.
Koutsopoulos, H.N., Polydoropoulou, A. and Ben-Akiva, M. (1995), “Travel simulators for data collection on driver behavior in the presence of information”, Transportation Research Part C: Emerging Technologies, Vol. 3 No. 3, pp. 143-159.
Lajunen, T. and Summala, H. (2003), “Can we trust self-reports of driving? Effects of impression management on driver behaviour questionnaire responses”, Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 6 No. 2, pp. 97-107.
Olia, A., Genders, W. and Razavi, S.N. (2013), “Microsimulation-based impact assessment of the vehicle-to-vehicle (V2V) system for work zone safety”, GEN, Vol. 211, p. 1.
Rahman, M.S., Abdel-Aty, M., Wang, L. and Lee, J. (2018), “Understanding the highway safety benefits of different approaches of connected vehicles in reduced visibility conditions”, Transportation Research Record: Journal of the Transportation Research Board, Vol. 2672 No. 19, pp. 91-101.
Rahman, M.M., Strawderman, L., Garrison, T., Eakin, D. and Williams, C.C. (2017), “Work zone sign design for increased driver compliance and worker safety”, Accident Analysis & Prevention, Vol. 106, pp. 67-75.
Schofer, J.L., Khattak, A. and Koppelman, F.S. (1993), “Behavioral issues in the design and evaluation of advanced traveler information systems”, Transportation Research Part C: Emerging Technologies, Vol. 1 No. 2, pp. 107-117.
Shakouri, M., Ikuma, L.H., Aghazadeh, F., Punniaraj, K. and Ishak, S. (2014), “Effects of work zone configurations and traffic density on performance variables and subjective workload”, Accident Analysis & Prevention, Vol. 71, pp. 166-176.
Strawderman, L., Huang, Y. and Garrison, T. (2013), “The effect of design and placement of work-zone warning signs on driver speed compliance: a simulator-based study”, IIE Transactions on Occupational Ergonomics and Human Factors, Vol. 1 No. 1, pp. 66-75.
Teizer, J., Allread, B.S., Fullerton, C.E. and Hinze, J. (2010), “Autonomous pro-active real-time construction worker and equipment operator proximity safety alert system”, Automation in Construction, Vol. 19 No. 5, pp. 630-640.
Van Der Horst, R. and Hogema, J. (1993), “Time-to-collision and collision avoidance systems”, In Proceedings of the 6th ICTCT workshop: Safety Evaluation of Traffic Systems: Traffic Conflicts and other Measures, pp. 109-121.
Wåhlberg, A., Dorn, L. and Kline, T. (2011), “The Manchester driver behaviour questionnaire as a predictor of road traffic accidents”, Theoretical Issues in Ergonomics Science, Vol. 12 No. 1, pp. 66-86.
Wang, L., Abdel-Aty, M. and Lee, J. (2017), “Implementation of active traffic management strategies for safety on congested expressway weaving segments”, Transportation Research Record: Journal of the Transportation Research Board, Vol. 2635 No. 1, pp. 28-35.
Weng, J. and Meng, Q. (2012), “Effects of environment, vehicle and driver characteristics on risky driving behavior at work zones”, Safety Science, Vol. 50 No. 4, pp. 1034-1042.
Whitmire, Ⅱ., J., Morgan, J.F., Oron-Gilad, T. and Hancock, P.A. (2011), “The effect of in-vehicle warning systems on speed compliance in work zones”, Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 14 No. 5, pp. 331-340.
This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence maybe seen at http://creativecommons.org/licences/by/4.0/legalcode