Assessing the Impact of Speed-Limit Reduction near Signalized High-Speed Intersections Equipped with Advance-Warning Flashers

Wang, Shefang; Sharma, Anuj

doi:10.1061/jtepbs.0000035

Cited by 3 publications

(4 citation statements)

References 20 publications

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“…We also found that environmental or roadway feature changes impacted driving performance for all drivers. The likelihood for compliance at speed limit transition zones is higher when they occurred concurrently with changes in other roadway features, suggesting that drivers ultimately adjust their speed based on the driving environments or perception of safety, rather than posted speed limits, which agrees with prior literatures 41‐43 …”

Section: Discussionsupporting

confidence: 86%

“…The likelihood for compliance at speed limit transition zones is higher when they occurred concurrently with changes in other roadway features, suggesting that drivers ultimately adjust their speed based on the driving environments or perception of safety, rather than posted speed limits, which agrees with prior literatures. [41][42][43] Admittedly, further investigation is needed to clarify some results. While we did not find that mobility was predictive of safety, it is unclear if this result is due to our cohorts restricted age-range and the lack of dementia in our driver sample.…”

Section: Discussionmentioning

confidence: 99%

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Visual and Cognitive Impairments Differentially Affect Speed Limit Compliance in Older Drivers

Wang

Sharma

Dawson

et al. 2021

J American Geriatrics Society

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OBJECTIVES:We test the hypothesis that clinical measures of age-related cognitive, visual, and mobility impairments negatively impact older driver speed limit compliance to advance method developments that improve older patient care and screen, identify, and advise at-risk older drivers. DESIGN: Real-world driver behaviors of older adults who had a range of cognitive, visual, and mobility abilities (measured with standardized, clinical tests) were assessed in environmental context (e.g., speed limit, traffic density, roadway type). Older driver speed limit compliance was measured in constant speed limit zones and at transition zones, where speed limits changed. SETTING: A naturalistic driving study of older adults living around Omaha, Nebraska. PARTICIPANTS: Seventy-seven, legally licensed, active, and typically aging older drivers (65-90 years) who had a range of cognitive and visual abilities. MEASUREMENTS: Drivers typical, daily driving was continuously monitored for 3 months using sensor instrumentation installed in their own vehicles. At study start, each participant completed a comprehensive, standardized, clinical assessment of cognitive, visual, and mobility abilities relevant to aging and driving. RESULTS: Older drivers with greater cognitive impairment (P = .10) drove slower than drivers with less cognitive impairment, linking cognitive impairment to speed control. Drivers with greater visual impairment overall complied less with speed limit changes at transition zones (P = .01) and were more likely to comply with speed limit transitions when they occurred concurrently with changes in roadway features (P < .01). CONCLUSION: Results link clinical measures of age-related cognitive and visual impairment to impaired driver safety in real-world contexts. Real-world sensor data coupled with detailed, personalized older driver profiles can inform patients, caregivers, interventions, policy, and the design of supportive in-vehicle technology for at-risk older drivers.

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Section: Discussionsupporting

confidence: 86%

Section: Discussionmentioning

confidence: 99%

Visual and Cognitive Impairments Differentially Affect Speed Limit Compliance in Older Drivers

Wang

Sharma

Dawson

et al. 2021

J American Geriatrics Society

Self Cite

View full text Add to dashboard Cite

show abstract

“…All these advantages make the radar widely used in urban traffic and expressway management, such as the traffic volume collection and over speed detection [8][9][10]. However, the mainstream radar devices used in traffic flow detection are generally achieved in centimetre, decimetre or metre waves, which work at K and X frequency bands [11][12][13]. These kinds of radars are insensitive to low-speed objects, and they are unable to detect stationary vehicles.…”

Section: Introductionmentioning

confidence: 99%

“…However, the mainstream radar devices used in traffic flow detection are generally achieved in centimetre, decimetre or metre waves, which work at K and X frequency bands [11][12][13]. These kinds of radars are insensitive to low-speed objects, and they are unable to detect stationary vehicles.…”

Section: Introductionmentioning

confidence: 99%

A two‐step abnormal data analysis and processing method for millimetre‐wave radar in traffic flow detection applications

Liu

Teng

Rai

et al. 2021

IET Intelligent Trans Sys

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In a new application scenario where the millimetre‐wave radar is installed above the road for detecting traffic flow in downward looking direction, the original data of the radar includes all kinds of background noises and false targets. In order to acquire effective vehicle trajectories, a two‐step abnormal data processing method for millimetre‐wave radar in traffic flow detection application is proposed. In the first step, the rational range of distance, angle and speed are studied, and proper thresholds are presented for reducing the samples of which the single parameter is with the obvious abnormality. Moreover, the nearest neighbour analysis method is used to further extract vehicle trajectories based on the similarity and slope characteristics of each sample to its neighbours. Taking actual detected data as samples, the weighting coefficients, similarity threshold, average slope threshold and standard deviation threshold are calibrated for the proposed nearest neighbour analysis method. The two‐step processing method presents a higher performance in extracting effective trajectory samples, and the ratio of noise points is reduced to 4.1%, compared with 239.9% in the original data sample. The proposed method can provide an effective reference for further applications, such as driving behaviour analysis and traffic flow parameter identification.

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SIV-DSS: Smart In-Vehicle Decision Support System for driving at signalized intersections with V2I communication

Xie¹,

Wang²

2018

Transportation Research Part C: Emerging Technologies

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Assessing the Impact of Speed-Limit Reduction near Signalized High-Speed Intersections Equipped with Advance-Warning Flashers

Cited by 3 publications

References 20 publications

Visual and Cognitive Impairments Differentially Affect Speed Limit Compliance in Older Drivers

Visual and Cognitive Impairments Differentially Affect Speed Limit Compliance in Older Drivers

A two‐step abnormal data analysis and processing method for millimetre‐wave radar in traffic flow detection applications

SIV-DSS: Smart In-Vehicle Decision Support System for driving at signalized intersections with V2I communication

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