Road Markings and Their Impact on Driver Behaviour and Road Safety: A Systematic Review of Current Findings

Babić, Dario; Fiolić, Mario; Babić, Darko; Gates, Timothy J.

doi:10.1155/2020/7843743

Cited by 42 publications

(26 citation statements)

References 51 publications

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“…This is mainly due to the lack of road markings and speed bumps on carpet roads. 14,15 Many drivers use bypass routes that are carpeted but are narrow. Kandy, a hilly terrain, has low-width roads with curvatures which can cause RTAs easily.…”

Section: Discussionmentioning

confidence: 99%

Identification of risk factors for road traffic accidents using injured drivers: a cross sectional study conducted in Sri-Lanka

Jayasekara

Mowlana

Madhumali

et al. 2021

Int J Community Med Public Health

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Background: Road traffic accidents are a significant cause of morbidity and mortality worldwide and a major cause of sudden deaths in Sri Lanka.Methods: This study was conducted to assess risk factors for RTAs using 360 injured drivers, admitted to the accident wards in two teaching hospitals in Kandy and Kurunegala using interviewer-administered questionnaires.Results: The majority of the study population (97%) was male and most drivers were 26-35 years of age. Motorcycles were the most common vehicle (79%) involved in RTAs and 47% of drivers had a driving experience of less than 10 years. The driving speed of 31-45 km/ h was reported in one-third of the RTAs and 76.9% of RTAs occurred on carpet roads mostly on Wednesdays and Fridays. Only 29 (8.055%) vehicles reported technical problems at the time of the RTA. There is a significant association (p<0.001) between the speed of the vehicle and the driving experience and the type of the vehicle and the age of the participants. There is an association between the type of the vehicle and the site of injury of drivers and between the speed of the vehicle and the usage of alcohol (P<0.01).Conclusions: Findings revealed that high risk for RTAs was amongst young male drivers, 26-35 years age range, who drove motorcycles. The most potential for RTAs to occur was on Fridays and Wednesdays and are more pronounced after 6 pm. The risk factors of RTAs are a result of a combination of several factors, as opposed to one.

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Section: Discussionmentioning

confidence: 99%

Identification of risk factors for road traffic accidents using injured drivers: a cross sectional study conducted in Sri-Lanka

Jayasekara

Mowlana

Madhumali

et al. 2021

Int J Community Med Public Health

View full text Add to dashboard Cite

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“…The effect of policies on driver behaviour and safety has been reviewed in Shinar & Gurion (2019). The effect of roadside vegetation, roadside advertisements, and road markings on safety have been reviewed in Van Treese et al (2017), Oviedo-Trespalacios et al (2019 and Babić et al (2020) respectively. Furthermore, one article reviews the importance of big data and its analysis in the driver behaviour domain (Terzi, Sagiroglu & Demirezen, 2018).…”

Section: Survey Analysismentioning

confidence: 99%

A systematic review on sensor-based driver behaviour studies: coherent taxonomy, motivations, challenges, recommendations, substantial analysis and future directions

Al-Hussein

Kiah

Por

et al. 2021

PeerJ Computer Science

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In the plan and development of Intelligent Transportation Systems (ITS), understanding drivers behaviour is considered highly valuable. Reckless driving, incompetent preventive measures, and the reliance on slow and incompetent assistance systems are attributed to the increasing rates of traffic accidents. This survey aims to review and scrutinize the literature related to sensor-based driver behaviour domain and to answer questions that are not covered so far by existing reviews. It covers the factors that are required in improving the understanding of various appropriate characteristics of this domain and outlines the common incentives, open confrontations, and imminent commendations from former researchers. Systematic scanning of the literature, from January 2014 to December 2020, mainly from four main databases, namely, IEEEXplore, ScienceDirect, Scopus and Web of Science to locate highly credible peer-reviewed articles. Amongst the 5,962 articles found, a total of 83 articles are selected based on the author’s predefined inclusion and exclusion criteria. Then, a taxonomy of existing literature is presented to recognize the various aspects of this relevant research area. Common issues, motivations, and recommendations of previous studies are identified and discussed. Moreover, substantial analysis is performed to identify gaps and weaknesses in current literature and guide future researchers into planning their experiments appropriately. Finally, future directions are provided for researchers interested in driver profiling and recognition. This survey is expected to aid in emphasizing existing research prospects and create further research directions in the near future.

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“…As Babic et al [26] pointed out, during daytime, the visibility of road markings is based on the color contrast between the marking and the roadway and is generally not an issue since there is sufficient light. On the other hand, during nighttime, there is less amount of light available to drivers, increasing driving risk on highways.…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Active Luminous Lane Markings on Highway at Night: A Driving Simulation Study

et al. 2021

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Road lane markings play an essential role in maintaining traffic order and improving traffic safety and efficiency. Active luminous lane markings have emerged with advances in technology recently. However, it is still not completely clear what impact their application will have on drivers. This paper aimed to study the effectiveness of active luminous lane markings on highways at night. A driving simulation experiment was carried out based on advanced driving simulators at Tongji University. The driving simulation experiment involved 31 participants and 9 simulation scenes with 6 different types of lane markings models and the same 2-way highway segment, which was 5300-m long with four 3.75-m wide driving lanes. The study participants drove through the simulated highway while the vehicle operation data and the driver’s eyes changing data were continuously captured. Overall, the pupil area change rate, steering wheel speed, brake pedal force, gas pedal, lane departure, and operating speed indicators were selected to evaluate the effectiveness of the active luminous lane markings. The results are shown as follows: (1) the active luminous lane markings have excellent visual recognition performance at night. Compared with the passive luminous lane markings, the active luminous markings can reduce the mental and physical loads of drivers, increase the early braking distance significantly, improve the lane-keeping ability and smooth the operating speed; (2) for the specific parameter settings of the active luminous lane markings at night, the yellow lane markings are better than the white ones, the point-line-type lane markings are superior to the conventional-type ones, and the blinking frequency is reasonable to set, at a moderate level, as 40 times per min. The results suggest that there are positive effects of active luminous lane markings on the promotion of highway traffic safety and efficiency at night, providing theoretical support for the popularization and application of active luminous road lane markings.

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Road Markings and Their Impact on Driver Behaviour and Road Safety: A Systematic Review of Current Findings

Cited by 42 publications

References 51 publications

Identification of risk factors for road traffic accidents using injured drivers: a cross sectional study conducted in Sri-Lanka

Identification of risk factors for road traffic accidents using injured drivers: a cross sectional study conducted in Sri-Lanka

A systematic review on sensor-based driver behaviour studies: coherent taxonomy, motivations, challenges, recommendations, substantial analysis and future directions

Effectiveness of Active Luminous Lane Markings on Highway at Night: A Driving Simulation Study

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