Yueru Xu1,2,3, Zhirui Ye1,2,3, Yuan Wang1,2,3, Chao Wang1,2,3, Cuicui Sun1,2,3. 1. a Jiangsu Key Laboratory of Urban ITS , Southeast University , Nanjing , China. 2. b Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies , Southeast University , Nanjing , China. 3. c School of Transportation , Southeast University , Nanjing , China.
Abstract
OBJECTIVES: This article focuses on the effect of road lighting on road safety at accesses to quantitatively analyze the relationship between road lighting and road safety. METHODS: An artificial neural network (ANN) was applied in this study. This method is one of the most popular machine learning methods and does not require any predefined assumptions. This method was applied using field data collected from 10 road segments in Nanjing, Jiangsu Province, China. RESULTS: The results show that the impact of road lighting on road safety at accesses is significant. In addition, road lighting has a greater influence when vehicle speeds are higher or the number of lanes is greater. A threshold illuminance was also found, and the results show that the safety level at accesses will become stable when reaching this value. CONCLUSIONS: Improved illuminance can decrease the speed variation among vehicles and improve safety levels. In addition, high-grade roads need better illuminance at accesses. A threshold value can also be obtained based on related variables and used to develop scientific guidelines for traffic management organizations.
OBJECTIVES: This article focuses on the effect of road lighting on road safety at accesses to quantitatively analyze the relationship between road lighting and road safety. METHODS: An artificial neural network (ANN) was applied in this study. This method is one of the most popular machine learning methods and does not require any predefined assumptions. This method was applied using field data collected from 10 road segments in Nanjing, Jiangsu Province, China. RESULTS: The results show that the impact of road lighting on road safety at accesses is significant. In addition, road lighting has a greater influence when vehicle speeds are higher or the number of lanes is greater. A threshold illuminance was also found, and the results show that the safety level at accesses will become stable when reaching this value. CONCLUSIONS: Improved illuminance can decrease the speed variation among vehicles and improve safety levels. In addition, high-grade roads need better illuminance at accesses. A threshold value can also be obtained based on related variables and used to develop scientific guidelines for traffic management organizations.
Authors: María García-Castellano; Juan Manuel González-Romo; Juan Antonio Gómez-Galán; Juan Pablo García-Martín; Antonio Torralba; Ventura Pérez-Mira Journal: Sensors (Basel) Date: 2019-11-21 Impact factor: 3.576