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Surrogate Safety Measures from Traffic Simulation Models
Abstract
Safety is emerging as an area of increased attention and awareness within transportation engineering. Historically, the safety of new and innovative traffic treatments has been difficult to assess, primarily because of a lack of good predictive models of crash potential and a lack of consensus on what constitutes a safe or unsafe facility. An FHWA-sponsored research project investigated the potential to derive surrogate measures of safety from existing traffic simulation models. These surrogate measures could then be used to support evaluations of various traffic engineering alternatives, including facilities that have not yet been built and strategies that have not yet been used. Each surrogate measure is collected on the basis of the occurrence of a conflict event, which is an interaction between two vehicles in which one vehicle must take evasive action to avoid a collision. The surrogate measures that are proposed as the best are time to collision, postencroachment time, deceleration rate, maximum speed, and speed differential. Time to collision, postencroachment time, and deceleration rate can be used to measure the severity of the conflict. Maximum speed and the speed differential can be used to measure the severity of the potential collision (by use of additional information about the mass of the vehicles involved to assess momentum). After the simulation model is executed for a number of iterations, a postprocessing tool would be used to compute the statistics for the various measures and perform comparisons between design alternatives.
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Cited by
Mahmud, S. M. S., Ferreira, L., Hoque, M. S., & Tavassoli, A. (2017) · IATSS Research · doi:10.1016/j.iatssr.2017.02.001 · Cited by 459
Calibration and validation of simulated vehicle safety performance at signalized intersections
Cunto, F., & Saccomanno, F. F. (2008) · Accident Analysis & Prevention · doi:10.1016/j.aap.2008.01.003 · Cited by 286
Gueriau, M., & Dusparic, I. (2020) · 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc45102.2020.9294174 · Cited by 133
Jo, Y., Jang, J., Ko, J., & Oh, C. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3156923 · Cited by 30
Connected vehicle-based road safety information system (CROSS): Framework and evaluation
Jo, Y., Jang, J., Park, S., & Oh, C. (2021) · Accident Analysis & Prevention · doi:10.1016/j.aap.2021.105972 · Cited by 22
Metadata
- Authors
- Gettman, D., & Head, L.
- Venue
- Transportation Research Record: Journal of the Transportation Research Board
- Publisher
- SAGE Publications
- Published
- 2003-01
- Volume
- 1840
- Issue
- 1
- Pages
- 104-115
- ISSN
- 0361-1981 (ISSN-L)
- 2169-4052
- OpenAlex
- W2155791515
- Cited by
- 675
- References
- 0
- FWCI
- 26.16
- Type
- journal article
- Language
- en
- Open access
- closed
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