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Surrogate Safety Measures from Traffic Simulation: Validation of Safety Indicators with Intersection Traffic Crash Data

Author

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  • Vittorio Astarita

    (Department of Civil Engineering, University of Calabria, Rende, 87036 Cosenza, Italy)

  • Ciro Caliendo

    (Department of Civil Engineering, University of Salerno, Fisciano, 84084 Salerno, Italy)

  • Vincenzo Pasquale Giofrè

    (Department of Civil Engineering, University of Calabria, Rende, 87036 Cosenza, Italy)

  • Isidoro Russo

    (Department of Civil Engineering, University of Salerno, Fisciano, 84084 Salerno, Italy)

Abstract

The traditional analysis of road safety is based on statistical methods that are applied to crash databases to understand the significance of geometrical and traffic features on safety, or in order to localize black spots. These classic methodologies, which are based on real crash data and have a solid background, usually do not explicitly consider the trajectories of vehicles at any given location. Moreover, they are not easily applicable for making comparisons between different traffic network designs. Surrogate safety measures, instead, may enable researchers and practitioners to overcome these limitations. Unfortunately, the most commonly used surrogate safety measures also present certain limits: Many of them do not take into account the severity of a potential collision and the dangers posed by road-side objects and/or the possibility of drivers being involved in a single-vehicle crash. This paper proposes a new surrogate safety indicator founded on vehicle trajectories, capable also of considering road-side objects. The validity of the proposed indicator is assessed by means of comparison between the calculation of surrogate safety measures on micro-simulated trajectories and the real crash risk obtained with data on real crashes observed at several urban intersection scenarios. The proposed experimental framework is also applied (for comparison) to classical indicators such as TTC (time to collision) and PET (post-encroachment time).

Suggested Citation

  • Vittorio Astarita & Ciro Caliendo & Vincenzo Pasquale Giofrè & Isidoro Russo, 2020. "Surrogate Safety Measures from Traffic Simulation: Validation of Safety Indicators with Intersection Traffic Crash Data," Sustainability, MDPI, vol. 12(17), pages 1-21, August.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:6974-:d:404780
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    References listed on IDEAS

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    1. Papola, Andrea & Tinessa, Fiore & Marzano, Vittorio, 2018. "Application of the Combination of Random Utility Models (CoRUM) to route choice," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 304-326.
    2. Marzano, Vittorio & Tocchi, Daniela & Papola, Andrea & Aponte, Dario & Simonelli, Fulvio & Cascetta, Ennio, 2018. "Incentives to freight railway undertakings compensating for infrastructural gaps: Methodology and practical application to Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 177-188.
    3. Astarita, Vittorio & Guido, Giuseppe & Vitale, Alessandro & Giofré, Vincenzo, 2012. "A new microsimulation model for the evaluation of traffic safety performances," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 51, pages 1-2.
    4. Cantarella, Giulio E. & Watling, David P., 2016. "A general stochastic process for day-to-day dynamic traffic assignment: Formulation, asymptotic behaviour, and stability analysis," Transportation Research Part B: Methodological, Elsevier, vol. 92(PA), pages 3-21.
    5. Valentina Trozzi & Guido Gentile & Ioannis Kaparias & Michael Bell, 2015. "Effects of Countdown Displays in Public Transport Route Choice Under Severe Overcrowding," Networks and Spatial Economics, Springer, vol. 15(3), pages 823-842, September.
    6. Papola, Andrea, 2016. "A new random utility model with flexible correlation pattern and closed-form covariance expression: The CoRUM," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 80-96.
    7. Conway, Karen Smith & Kniesner, Thomas J., 1991. "The important econometric features of a linear regression model with cross-correlated random coefficients," Economics Letters, Elsevier, vol. 35(2), pages 143-147, February.
    8. Osorio, Carolina & Punzo, Vincenzo, 2019. "Efficient calibration of microscopic car-following models for large-scale stochastic network simulators," Transportation Research Part B: Methodological, Elsevier, vol. 119(C), pages 156-173.
    9. Borja Alonso & Vittorio Astarita & Luigi Dell’Olio & Vincenzo Pasquale Giofrè & Giuseppe Guido & Marcella Marino & William Sommario & Alessandro Vitale, 2020. "Validation of Simulated Safety Indicators with Traffic Crash Data," Sustainability, MDPI, vol. 12(3), pages 1-22, January.
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    Cited by:

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