Work-Zone Safety Analysis: Evaluating Rear-End Crash Risk with Extreme Value Theory

Abstract

This research paper addresses the critical issue of work-zone safety, specifically focusing on the transition area where one or more lanes are reduced, leading to merging operations. Given the limited availability of reliable crash records, alternative methods are explored to evaluate safety in these zones. Surrogate safety measures (SSMs), such as time to collision (TTC), are employed to assess the potential risks. Videographic data is collected from two work-zone sites, located in Guwahati and Pune cities. The trajectories obtained from the data are analyzed to identify key parameters that influence the risk of rear-end crashes. To quantify merging-related crash risk, the study adopts the Gumbel distribution, which falls under the purview of extreme value theory (EVT). The EVT approach involves fitting the minimum TTC values, derived from the trajectory data, to the Gumbel distribution. This analysis allows for the estimation of crash risk associated with merging operations in work zones, providing valuable insights for implementing proactive safety measures. By focusing specifically on work-zone safety and exploring alternative evaluation methods, this research aims to overcome the challenges posed by the limited availability of crash records. The utilization of SSMs and the application of the Gumbel distribution within the framework of EVT offer comprehensive analysis of merging-related crash risk in work zones. Ultimately, the findings of this study aim to enhance safety and contribute to the implementation of effective measures to mitigate risks in work-zone areas, thereby ensuring the well-being of both workers and road users.

Keywords

operations work zone

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References

Weng

Meng

Rear-End Crash Potential Estimation in the Work Zone Merging Areas. Journal of Advanced Transportation, Vol. 48, No. 3, 2014, pp. 238–249.

Asare

I. O.

Mensah

A. C.

Crash Severity Modelling Using Ordinal Logistic Regression Approach. International Journal of Injury Control and Safety Promotion, Vol. 27, No. 4, 2020, pp. 412–419.

Kim

Estimation of Rear-End Crash Potential Using Vehicle Trajectory Data. Accident; Analysis and Prevention, Vol. 42, No. 6, 2010, pp. 1888–1893.

Cunto

Saccomanno

F. F.

Calibration and Validation of Simulated Vehicle Safety Performance at Signalized Intersections. Accident Analysis & Prevention, Vol. 40, No. 3, 2008, pp. 1171–1179.

Orsini

Gecchele

Gastaldi

Rossi

Collision Prediction in Roundabouts: A Comparative Study of Extreme Value Theory Approaches. Transportmetrica A: Transport Science, Vol. 15, No. 2, 2019, pp. 556–572.

Chauhan

Dhamaniya

Arkatkar

Haque

M. M.

A Conflict-Based Safety Assessment Technique for Rear-End Crash Risk at Signalized Intersections in a Lower-Middle-Income Country: A Comparison between Homogeneous and Heterogeneous Traffic Conditions. Safety Science 2023, pp. 161.

Zheng

Ismail

Meng

Freeway Safety Estimation Using Extreme Value Theory Approaches: A Comparative Study. Accident; Analysis and Prevention, Vol. 62, 2014, pp. 32–41.

RCE Systems. DFS VIEWER User Guide, 2019.

Farah

Azevedo CL

C. L.

Safety Analysis of Passing Maneuvers Using Extreme Value Theory. IATSS Research, Vol. 41, No. 1, 2017, pp. 12–21.

10.

Z. G.

Johnson

W. R.

Wikel

G. L.

Statistics of Extremes in Oil Spill Risk Analysis. Environmental Science & Technology, Vol. 48, No. 17, 2014, pp. 10505–10510.

11.

Jonasson

J. K.

Rootzén

Internal Validation of Near-Crashes in Naturalistic Driving Studies: A Continuous and Multivariate Approach. Accident; Analysis and Prevention, Vol. 62, 2014, pp. 102–109.

12.

Coles

An Introduction to Statistical Modeling of Extreme Values [Internet]. Springer London, London, 2001. (Springer Series in Statistics). http://link.springer.com/10.1007/978-1-4471-3675-0

13.

Eric Gilleland

R. W. K.

New Software to Analyze How Extremes Change over Time. Eos (Washington DC), Vol. 92, 2011, pp. 13–14.

14.

Songchitruksa

Tarko

A. P.

The Extreme Value Theory Approach to Safety Estimation. Accident; Analysis and Prevention, Vol. 38, No. 4, 2006, pp. 811–822.

15.

Weng

Meng

Modeling Speed-Flow Relationship and Merging Behavior in Work Zone Merging Areas. Transportation Research Part C: Emerging Technologies, Vol. 19, No. 6, 2011, pp. 985–996.

16.

Weng

Xue

Yang

Yan

In-Depth Analysis of Drivers’ Merging Behavior and Rear-End Crash Risks in Work Zone Merging Areas. Accident; Analysis and Prevention, Vol. 77, 2015, pp. 51–61.