Impact of Narrow Lanes on Arterial Road Vehicle Crashes: A Machine Learning Approach

by   Mohammed Elhenawy, et al.

In this paper we adopted state-of-the-art machine learning algorithms, namely: random forest (RF) and least squares boosting, to model crash data and identify the optimum model to study the impact of narrow lanes on the safety of arterial roads. Using a ten-year crash dataset in four cities in Nebraska, two machine learning models were assessed based on the prediction error. The RF model was identified as the best model. The RF was used to compute the importance of the lane width predictors in our regression model based on two different measures. Subsequently, the RF model was used to simulate the crash rate for different lane widths. The Kruskal-Wallis test, was then conducted to determine if simulated values from the four lane width groups have equal means. The test null hypothesis of equal means for simulated values from the four lane width groups was rejected. Consequently, it was concluded that the crash rates from at least one lane width group was statistically different from the others. Finally, the results from the pairwise comparisons using the Tukey and Kramer test showed that the changes in crash rates between any two lane width conditions were statistically significant.


page 1

page 2

page 3

page 4


Multi-Class Lane Semantic Segmentation using Efficient Convolutional Networks

Lane detection plays an important role in a self-driving vehicle. Severa...

Ensemble Projection Pursuit for General Nonparametric Regression

The projection pursuit regression (PPR) has played an important role in ...

WS-3D-Lane: Weakly Supervised 3D Lane Detection With 2D Lane Labels

Compared to 2D lanes, real 3D lane data is difficult to collect accurate...

Modeling bike availability in a bike-sharing system using machine learning

This paper models the availability of bikes at San Francisco Bay Area Bi...

Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions

In this paper, we present a novel model to detect lane regions and extra...

Can the center lane really have advantages for swimmers?

In swimming competitions, the center lane is considered to be the best l...

High-Resolution Road Vehicle Collision Prediction for the City of Montreal

Road accidents are an important issue of our modern societies, responsib...

Please sign up or login with your details

Forgot password? Click here to reset