Efficacy of roll stability control and lane departure warning systems using carrier-collected data

Hickman, Jeffrey S.; Guo, Feng; Camden, Matthew C.; Hanowski, Richard J.; Medina, Alejandra; Mabry, J. E.

doi:10.1016/j.jsr.2014.12.004

Cited by 39 publications

(17 citation statements)

References 4 publications

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“…In the trucking industry, efforts could be considered to pilot test near miss reporting systems and evaluate their effectiveness. In addition, forward collision, lane departure warning systems, and roll stability control technologies have been used in the U.S. trucking industry for collision prevention and mitigation (Chen et al, 2004; Hickman et al, 2015). …”

Section: Discussionmentioning

confidence: 99%

NIOSH national survey of long-haul truck drivers: Injury and safety

Chen

Sieber

Lincoln

et al. 2015

Accident Analysis & Prevention

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Approximately 1,701,500 people were employed as heavy and tractor-trailer truck drivers in the United States in 2012. The majority of them were long-haul truck drivers (LHTDs). There are limited data on occupational injury and safety in LHTDs, which prompted a targeted national survey. The National Institute of Occupational Safety and Health conducted a nationally representative survey of 1265 LHTDs at 32 truck stops across the contiguous United States in 2010. Data were collected on truck crashes, near misses, moving violations, work-related injuries, work environment, safety climate, driver training, job satisfaction, and driving behaviors. Results suggested that an estimated 2.6% of LHTDs reported a truck crash in 2010, 35% reported at least one crash while working as an LHTD, 24% reported at least one near miss in the previous 7 days, 17% reported at least one moving violation ticket and 4.7% reported a non-crash injury involving days away from work in the previous 12 months. The majority (68%) of non-crash injuries among company drivers were not reported to employers. An estimate of 73% of LHTDs (16% often and 58% sometimes) perceived their delivery schedules unrealistically tight; 24% often continued driving despite fatigue, bad weather, or heavy traffic because they needed to deliver or pick up a load at a given time; 4.5% often drove 10 miles per hours or more over the speed limit; 6.0% never wore a seatbelt; 36% were often frustrated by other drivers on the road; 35% often had to wait for access to a loading dock; 37% reported being noncompliant with hours-of-service rules (10% often and 27% sometimes); 38% of LHTDs perceived their entry-level training inadequate; and 15% did not feel that safety of workers was a high priority with their management. This survey brings to light a number of important safety issues for further research and interventions, e.g., high prevalence of truck crashes, injury underreporting, unrealistically tight delivery schedules, noncompliance with hours-of-service rules, and inadequate entry-level training.

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Section: Discussionmentioning

confidence: 99%

NIOSH national survey of long-haul truck drivers: Injury and safety

Chen

Sieber

Lincoln

et al. 2015

Accident Analysis & Prevention

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“…With LDWS being considered as potentially relevant to prevent or mitigate between 146000 and 179000 crashes per year in the United States, including between 4842 and 7529 fatal crashes (Jermakian, 2011). Reductions in crashes have already been observed in real driving conditions, with a crash rate approximately 2 times higher for vehicles without LDWS compared to vehicles equipped with LDWS (Hickman et al, 2015 (Navarro et al, 2016), PLD warnings were not subjectively perceived here as more annoying and less pleasing than FLD warnings. This indicates that the nature of the assistance error is determinant on drivers' acceptance and its related use.…”

Section: Discussionmentioning

confidence: 89%

“…These findings are confirmed by a naturalistic study where two distinct cohort of trucks equipped with LDWS were compared with trucks not equipped with LDWS, over 13 billion miles traveled. Trucks without LDWS had a crash rate approximately 2 times higher compared to those with LDWS (Hickman et al, 2015).…”

Section: Introductionmentioning

confidence: 90%

Influence of lane departure warnings onset and reliability on car drivers' behaviors

et al. 2017

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Lane departures represent an important cause of road crashes. The objective of the present study was to assess the effects of an auditory Lane Departure Warning System (LDWS) for partial and full lane departures (onset manipulation) combined with missed warnings (reliability manipulation: 100% reliable, 83% reliable and 66% reliable) on drivers' performances and acceptance. Several studies indicate that LDWS improves drivers' performances during lane departure episodes. However, little is known about the effects of the warning onset and reliability of LDWS. Results of studies which looked at forward collision warning systems show that early warnings tend to improve drivers' performances and receive a better trust judgement from the drivers when compared to later warnings. These studies also suggest that reliable assistances are more effective and trusted than unreliable ones. In the present study, lane departures were brought about by means of a distraction task whilst drivers simulated driving in a fixed-base simulator with or without an auditory LDWS. Results revealed steering behaviors improvements with LDWS. More effective recovery maneuvers were found with partial lane departure warnings than with full lane departure warnings and assistance unreliability did not impair significantly drivers' behaviors. Regarding missed lane departure episodes, drivers were found to react later and spend more time out of the driving lane when compared to properly warned lane departures, as if driving without assistance. Subjectively, LDWS did not reduce mental workload and partial lane departure warnings were judged more trustworthy than full lane departure ones. Data suggests the use of partial lane departure warnings when designing LDWS and that even unreliable LDWS may draw benefits compared to no assistance.

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“…In 2015 was report a comparison between two different ways of alarm in LDW, one activating the breaker and the other modifying the steering wheel position, they discussed that the difference in simulated experiments was no profitable [4], at the time was propose the LDW using Hough transform, reporting a 3% of false alarm, reducing the standard in that year [10]. In the following years the investigation focus in use of different filters [16,23,14], the application of observers [7,21] and effectiveness evaluations [24], but in all cases, the application of LDW is just for alarm and to our best knowledge is no suitable for non-manned vehicles, on the other hand, the SWC patents describe the application and uses [1,11,13], where the application most significant is in a truck where was consider velocity of reaction to avoid insures [12], the review in [3], supports that non-manned vehicles have enough study with this technique.…”

Section: Related Workmentioning

confidence: 99%

Steering Wheel Control in Lane Departure Warning System

Rojas¹,

Arellano²,

González³

et al. 2018

RCS

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Advanced driver assistance systems (ADAS) are important to prevent road accidents, one of those are lane invasions. Nowadays optical and control systems are applied in new cars to maintain vehicles centered in a lane, nevertheless old vehicles cannot access to these new assistant systems. In this paper we present a position steering wheel control (SWC) in a lane detection prototype designed for its implementation in cars that do not have installed this system. The proposed technique uses a self-tuning PID controller connected to a DC motor for SWC that uses orientation of lines on the road. Lines are detected by applying Sobel filter convolution and Hough transform, which are image processing techniques that allow obtaining orientation. The PID controller is automatically tuned since this assistant would be installed in different cars. GA is used since it has shown good results parametrizing well known structured problems without requiring mathematical models or techniques that demand control experts. The main contributions of this research are a SCW alternative capable of been installed in any old vehicle and the algorithm implemented for using orientation as input data as the control reference with a self-tuning PID controller.

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Efficacy of roll stability control and lane departure warning systems using carrier-collected data

Cited by 39 publications

References 4 publications

NIOSH national survey of long-haul truck drivers: Injury and safety

NIOSH national survey of long-haul truck drivers: Injury and safety

Influence of lane departure warnings onset and reliability on car drivers' behaviors

Steering Wheel Control in Lane Departure Warning System

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