Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP
… Therefore, many safety studies using ML adopted sensitivity … to roadway geometry and AADT
rather than functional class. … by severity level as in the Highway Safety Manual (eg, Chapter …
rather than functional class. … by severity level as in the Highway Safety Manual (eg, Chapter …
[图书][B] Highway safety analytics and modeling
… the core research topic in road safety studies, hence showing the … undergraduate or graduate
course in highway safety. Different … Swedish Vision Zero policies for safety ea comparative …
course in highway safety. Different … Swedish Vision Zero policies for safety ea comparative …
Short-term prediction of safety and operation impacts of lane changes in oscillations with empirical vehicle trajectories
… of the safety level on a particular stretch of road during a … O , thus, the sensitivity of the speed
differences between adjacent … In this section the LCI was compared for the vehicle class and …
differences between adjacent … In this section the LCI was compared for the vehicle class and …
A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling
… When both road users are on a collision course, T2 is equal … to be subjective and
threshold-sensitive. On the other hand, … it to evaluate the safety of freeway entrances and …
threshold-sensitive. On the other hand, … it to evaluate the safety of freeway entrances and …
Crash severity analysis of vulnerable road users using machine learning
… to inform road safety countermeasure in improving VRU safety … , the difference between RF
sensitivity with KNN sensitivity … impact of individual feature classes over the change of crash …
sensitivity with KNN sensitivity … impact of individual feature classes over the change of crash …
[HTML][HTML] Machine learning applied to road safety modeling: A systematic literature review
… Recall (sensitivity) measures the capacity of making a positive prediction of a class in which
the … Other models included multi-lane highways, but associated with other kinds of roadway, …
the … Other models included multi-lane highways, but associated with other kinds of roadway, …
A comprehensive analysis of factors that influence interstate highway crash severity in Alabama
… to traffic volume and average vertical grade but less sensitive … latent class approach
identifies unobserved classes without … injury compared to crashes that occurred on dry roadway …
identifies unobserved classes without … injury compared to crashes that occurred on dry roadway …
Probability of roadside accidents for curved sections on highways
G Cheng, R Cheng, Y Pei, L Xu - Mathematical Problems in …, 2020 - Wiley Online Library
… criteria; P value criteria are sensitive to the number of data … improving roadside safety and
identifying the road conditions … The G105 is a first-class road with a design speed of 80 km/h…
identifying the road conditions … The G105 is a first-class road with a design speed of 80 km/h…
Understanding speeding behavior from naturalistic driving data: Applying classification based association rule mining
… by the Safety Pilot Model Deployment (SPMD) program and … event; c) roadway features like
functional class, access control… are normally subjective and sensitive to the correctness of the …
functional class, access control… are normally subjective and sensitive to the correctness of the …
Comprehensive safety assessment in mixed fleets with connected and automated vehicles: A crash severity and rate evaluation of conventional vehicles
… ) sensitivity analysis of CAV vehicle operation characteristics … , safety evaluation platform
provisioned by Federal Highway … of the fundamental behaviour of vehicle classes (CAV and MV)…
provisioned by Federal Highway … of the fundamental behaviour of vehicle classes (CAV and MV)…