How is driving volatility related to intersection safety? A Bayesian heterogeneity-based analysis of instrumented vehicles data

How is driving volatility related to intersection safety? A Bayesian heterogeneity-based analysis... •New concept of intersection-specific driving volatility for proactive safety management.•Rigorous data analytics methodology to analyze driving data from real-world connected vehicles test-bed.•Presents full Bayesian estimation via Markov Chain Monte Carlo (MCMC) based Gibbs sampling.•Vehicular speed, acceleration/deceleration, and vehicular jerk-based volatility measures are proposed.•Integrates connected vehicles, safety and traffic data to identify locations where crashes are waiting to happen. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Transportation Research Part C: Emerging Technologies Elsevier

How is driving volatility related to intersection safety? A Bayesian heterogeneity-based analysis of instrumented vehicles data

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Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier Ltd
ISSN
0968-090X
D.O.I.
10.1016/j.trc.2018.05.017
Publisher site
See Article on Publisher Site

Abstract

•New concept of intersection-specific driving volatility for proactive safety management.•Rigorous data analytics methodology to analyze driving data from real-world connected vehicles test-bed.•Presents full Bayesian estimation via Markov Chain Monte Carlo (MCMC) based Gibbs sampling.•Vehicular speed, acceleration/deceleration, and vehicular jerk-based volatility measures are proposed.•Integrates connected vehicles, safety and traffic data to identify locations where crashes are waiting to happen.

Journal

Transportation Research Part C: Emerging TechnologiesElsevier

Published: Jul 1, 2018

References

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