Driving styles and traffic density diagnosis in simulated driving conditions

2020 ◽

Vol 64 (1) ◽

pp. 1196-1201

Author(s):

Alejandro A. Arca ◽

Kaitlin M. Stanford ◽

Mustapha Mouloua

Keyword(s):

Individual Differences ◽

Driving Simulator ◽

Memory Deficits ◽

Driving Performance ◽

Driver Distraction ◽

Phone Call ◽

Traffic Density ◽

Attention And Memory ◽

Adhd Diagnosis ◽

Simulated Driving

The current study was designed to empirically examine the effects of individual differences in attention and memory deficits on driver distraction. Forty-eight participants consisting of 37 non-ADHD and 11 ADHD drivers were tested in a medium fidelity GE-ISIM driving simulator. All participants took part in a series of simulated driving scenarios involving both high and low traffic conditions in conjunction with completing a 20-Questions task either by text- message or phone-call. Measures of UFOV, simulated driving, heart rate variability, and subjective (NASA TLX) workload performance were recorded for each of the experimental tasks. It was hypothesized that ADHD diagnosis, type of cellular distraction, and traffic density would affect driving performance as measured by driving performance, workload assessment, and physiological measures. Preliminary results indicated that ADHD diagnosis, type of cellular distraction, and traffic density affected the performance of the secondary task. These results provide further evidence for the deleterious effects of cellphone use on driver distraction, especially for drivers who are diagnosed with attention-deficit and memory capacity deficits. Theoretical and practical implications are discussed, and directions for future research are also presented.

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Effect of Changing a Traffic Control Device Color on Driver Behavior and Perception across Different Age Groups

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/03611981211011168 ◽

2021 ◽

pp. 036119812110111

Author(s):

Hatem Abou-Senna ◽

Mohamed El-Agroudy ◽

Mustapha Mouloua ◽

Essam Radwan

Keyword(s):

Traffic Control ◽

Traffic Management ◽

Driving Simulator ◽

Age Groups ◽

The United States ◽

Time Of Day ◽

General Purpose ◽

Traffic Density ◽

Driving Conditions ◽

And Performance

The use of express lanes (ELs) in freeway traffic management has seen increasing popularity throughout the United States, particularly in Florida. These lanes aim at making the most efficient transportation system management and operations tool to provide a more reliable trip. An important component of ELs is the channelizing devices used to delineate the separation between the ELs and the general-purpose lane. With the upcoming changes to the FHWA Manual on Uniform Traffic Control Devices, this study provided an opportunity to recommend changes affecting safety and efficiency on a nationwide level. It was important to understand the impacts on driver perception and performance in response to the color of the EL delineators. It was also valuable to understand the differences between demographics in responding to delineator colors under different driving conditions. The driving simulator was used to test the responses of several demographic groups to changes in marker color and driving conditions. Furthermore, participants were tested for several factors relevant to driving performance including visual and subjective responses to the changes in colors and driving conditions. Impacts on driver perception were observed via eye-tracking technology with changes to time of day, visibility, traffic density, roadway surface type, and, crucially, color of the delineating devices. The analyses concluded that white was the optimal and most significant color for notice of delineators across the majority of subjective and performance measures, followed by yellow, with black being the least desirable.

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Effects of vibration on occupant driving performance under simulated driving conditions

Applied Ergonomics ◽

10.1016/j.apergo.2016.12.020 ◽

2017 ◽

Vol 60 ◽

pp. 348-355 ◽

Cited By ~ 6

Author(s):

Amzar Azizan ◽

M. Fard ◽

Michael F. Azari ◽

Reza Jazar

Keyword(s):

Driving Performance ◽

Simulated Driving ◽

Driving Conditions

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Do Benefits of Cell Phone Use in Monotonous Driving Conditions Really Outweigh the Costs? Results From a Simulated Driving Study

PsycEXTRA Dataset ◽

10.1037/e616002013-001 ◽

2013 ◽

Author(s):

Dyani J. Saxby ◽

Gerald Matthews ◽

Catherine Neubauer

Keyword(s):

Cell Phone ◽

Cell Phone Use ◽

Simulated Driving ◽

Driving Conditions

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Automatic Movable Smart Road Dividers - IOT Based Solution to Traffic Congestion Problems

Volume 5 - 2020, Issue 9 - September - International Journal of Innovative Science and Research Technology ◽

10.38124/ijisrt20jun1024 ◽

2020 ◽

Vol 5 (6) ◽

pp. 1511-1516

Author(s):

Keerthan A J ◽

Likhith H D ◽

Chetan H S ◽

Kiran K P ◽

Dr. Sumaiya MN

Keyword(s):

Internet Of Things ◽

Traffic Congestion ◽

The Other ◽

Traffic Density ◽

Time Loss ◽

Congestion Problems ◽

Driving Conditions ◽

The Web

The street dividers are commonly utilized for separating the street for continuous and approaching traffic. This is useful in keeping the progression of traffic. For this situation, there is equal number of lanes for both approaching and continuous traffic. Be that as it may, in certain zones, such as in industrial or shopping zones the traffic for the most part streams a one way in the first part of the morning or night. The other roadside is unfilled or unused. It leads to time loss for public and congested driving conditions. We mean to assemble a shrewd street divider as far as a mechanized street divider which moves or move the path coordinating the surge in rush hour gridlock. Such kind of component of traffic framework spares time as well as fuel. It can include 1 more path based the traffic in the specific bearing. With the more intelligent application planned underneath, manual reliance and manual traffic relation is decreased. Like this a proposition of savvy traffic is worked in less, medium and more density in the rush hour gridlock will be appeared in IOT server in utilizing grap diagram. IoT refers to Internet of Things where real digitalization comes into the image. The sensors and Arduino boards are utilized. The sensors are placed on the dividers which sense the progression of traffic and it is refreshed to the web through Wi-Fi module associated. The traffic density will be appeared in IoT server in utilizing graph chart. It gives a superior answer to traffic issue.

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