Potential safety benefits of lane departure prevention technology

Penmetsa, Praveena; Hudnall, Matthew; Nambisan, Shashi

doi:10.1016/j.iatssr.2018.08.002

Cited by 27 publications

(23 citation statements)

References 10 publications

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“…7-19.0% assuming the same exposure and road characteristics as the data source (Figure A-3, see online supplement). This is similar to the 6.0-12.9% single-vehicle road departure crash reduction in 2025 depending on the LDW/LDP system effectiveness as predicted by Penmetsa et al (2018). The Federal Highway Administration (FHWA 2015) estimates that the vehicle miles traveled (VMT) increases by about 1% each year, which means the number of drift-out-of-lane road departure crashes can be expected to increase as well.…”

Section: Fundingsupporting

confidence: 64%

Residual road departure crashes after full deployment of LDW and LDP systems

Riexinger

Sherony²,

Gabler

2019

Traffic Injury Prevention

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Objective: Road departures are one of the most severe crash modes in the United States. To help reduce this risk, vehicles are being introduced in the United States with lane departure warning (LDW) systems, which warn the driver of a departure, and lane departure prevention (LDP) systems, which assist the driver in steering back to the roadway. Previous studies have estimated that LDW/LDP systems may prevent one third of drift-out-of-lane road departure crashes. This study investigates the crashes that were not prevented, to potentially set research priorities for next-generation road departure prevention systems. Methods: The event data recorder (EDR) data from 128 road departure crashes in the National Automotive Sampling System Crashworthiness Data System (NASS-CDS) from 2011 to 2015 were mapped onto the vehicle trajectory and simulated with LDW/LDP to assess the potential for crash avoidance. The model predicted that 63-83% of single-vehicle road departure crashes may not be prevented by an LDW system and 49% may not be prevented by an LDP system. Results and Conclusions: For LDP systems, which were assumed to have zero latency, no crashes were avoided if the time-to-collision (TTC) from lane crossing to impact was less than 0.55 s. Obstacles such as guardrails and traffic barriers, which tend to be very close to the road, were more common among the remaining crashes. The study shows that LDW/LDP systems are limited by two factors, driver reaction time and TTC to the roadside object. Thus, earlier driver response and longer TTC may help in these situations.

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Section: Fundingsupporting

confidence: 64%

Residual road departure crashes after full deployment of LDW and LDP systems

Riexinger

Sherony²,

Gabler

2019

Traffic Injury Prevention

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“…That means that if all passenger vehicles had been equipped with LDW, nearly 85,000 police-reported crashes and more than 55,000 injuries would have been prevented in 2015 (Insurance Institute for Highway Safety, 2017). Penmetsa et al (2018) assessed the effectiveness of LDW using state-level crash data and vehicle registration information and found that by 2020 if 8.5% of the LDV fleet were equipped with LDW systems that are 20% effective, 2.7% of single-vehicle lane departure crashes could be avoided. Yue et al (2018) estimated the effectiveness of connected vehicle and driver assistance technologies by comparing the estimated effectiveness between studies.…”

Section: Existing Literaturementioning

confidence: 99%

Net-societal and net-private benefits of some existing vehicle crash avoidance technologies

Khan

Harper

Hendrickson

et al. 2019

Accident Analysis & Prevention

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“…Nowadays, vehicles designed with advanced safety technologies are rapidly entering the marketplace and the introduction of these new features are enhancing the safety of road users. Hence, the decrease in human errors due to careless driving behaviours can potentially reduce traffic collision dramatically [8].…”

Section: A Conceptual Frameworkmentioning

confidence: 99%

“…A previous study indicated that one of the main factors that caused motorcycle accidents was speeding [8]. Hence, reducing the speed limit may help decrease the number of accident cases (item B2).…”

Section: A Demographics Of Participantsmentioning

confidence: 99%

Public Perception on Motorcyclist Safety Prevention Methods using Structural Equation Modelling

Mokhtar*,

M F,

Hamzah

et al. 2019

IJITEE

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Motorcycle-related road accidents are the most frequent cause of road traffic injuries reported in Malaysia. One of the key approaches of the Safe System strategy used internationally to address the road casualty reduction goals and targets for interim and long term planning was by improving the vehicle safety system. In this study, feedback regarding the prevention methods that could help reduce the occurrence of motorcycle accidents was obtained from drivers and motorcyclists. In total, five components of safety prevention methods were established and quantitative data were measured from a set of questionnaires distributed all over Malaysia. The questionnaires were designed to understand the public perception on effective methods to address the current road safety issues. Items in the questionnaire were analysed by Structural Equation Modelling using AMOS 25.0 to enable an informed decision based on the data obtained. The primary objectives of this study are to assess the validity and reliability of the measurement model using structural equation modelling based on the public perception of motorcyclists safety prevention methods. In this study, all the measurement models achieved their validity and reliability at the required level. The fitness index based on CR and AVE values were higher than 0.50, thereby indicating that the measurement model achieved the level of acceptance required. In addition, the constructed variables were statistically significant based on the factor loading values that were greater than 0.6 for each construct.

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Potential safety benefits of lane departure prevention technology

Cited by 27 publications

References 10 publications

Residual road departure crashes after full deployment of LDW and LDP systems

Residual road departure crashes after full deployment of LDW and LDP systems

Net-societal and net-private benefits of some existing vehicle crash avoidance technologies

Public Perception on Motorcyclist Safety Prevention Methods using Structural Equation Modelling

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