Next Article in Journal
HR Managers’ Emotions in Strategic Decision-Making Events: Evidence from Croatia
Previous Article in Journal
Reinterpreting the SDGs: Taking Animals into Direct Consideration
Previous Article in Special Issue
A Few Critical Human Factors for Developing Sustainable Autonomous Driving Technology
Article

Decision Tree Method to Analyze the Performance of Lane Support Systems

Department of Civil Engineering and Architecture, University of Catania, 95123 Catania, Italy
*
Author to whom correspondence should be addressed.
Sustainability 2021, 13(2), 846; https://doi.org/10.3390/su13020846
Received: 26 November 2020 / Revised: 28 December 2020 / Accepted: 12 January 2021 / Published: 16 January 2021
Road departure is one of the main causes of single vehicle and frontal crashes. By implementing lateral support systems, a significant amount of these accidents can be avoided. Typical accidents are normally occurring due to unintentional lane departure where the driver drifts towards and across the line identifying the edge of the lane. The Lane Support Systems (LSS) uses cameras to “read” the lines on the road and alert the driver if the car is approaching the lines. Anyway, despite the assumed technology readiness, there is still much uncertainty regarding the needs of vision systems for “reading” the road and limited results are still available from in field testing. In such framework the paper presents an experimental test of LSS performance carried out in two lane rural roads with different geometric alignments and road marking conditions. LSS faults, in day light and dry pavement conditions, were detected on average in 2% of the road sections. A decision tree method was used to analyze the cause of the faults and the importance of the variable involved in the process. The fault probability increased in road sections with radius less than 200 m and in poor conditions of road marking. View Full-Text
Keywords: road safety; lane support system; decision tree road safety; lane support system; decision tree
Show Figures

Figure 1

MDPI and ACS Style

Pappalardo, G.; Cafiso, S.; Di Graziano, A.; Severino, A. Decision Tree Method to Analyze the Performance of Lane Support Systems. Sustainability 2021, 13, 846. https://doi.org/10.3390/su13020846

AMA Style

Pappalardo G, Cafiso S, Di Graziano A, Severino A. Decision Tree Method to Analyze the Performance of Lane Support Systems. Sustainability. 2021; 13(2):846. https://doi.org/10.3390/su13020846

Chicago/Turabian Style

Pappalardo, Giuseppina, Salvatore Cafiso, Alessandro Di Graziano, and Alessandro Severino. 2021. "Decision Tree Method to Analyze the Performance of Lane Support Systems" Sustainability 13, no. 2: 846. https://doi.org/10.3390/su13020846

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop