Utilizing Structural Equation Modeling and Segmentation Analysis in Real-time Crash Risk Assessment on Freeways
Sign Up to like & getrecommendations! Published in 2018 at "KSCE Journal of Civil Engineering"
DOI: 10.1007/s12205-017-0629-3
Abstract: The study aimed to utilize Structural Equation Modeling (SEM) and K-means clustering for predicting real-time crash risks on freeways. The SEM was used to transform a number of correlated traffic variables into four independent latent… read more here.
Keywords: crash risks; traffic; segmentation analysis; crash ... See more keywords
Reinforcement Learning-Based Variable Speed Limits Control to Reduce Crash Risks Near Traffic Oscillations on Freeways
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DOI: 10.1109/mits.2019.2907631
Abstract: Traffic oscillation on freeways results in abrupt and frequent vehicle deceleration, which remarkably increases crash risks. Artificial Intelligence based traffic control provides a new opportunity for addressing the safety issues. This study aims at proposing… read more here.
Keywords: traffic; crash; crash risks; control ... See more keywords