scholarly journals Investigating the impact of dynamic merge control strategies on driving behavior on rural and urban expressways – A driving simulator study

2019 ◽  
Vol 65 ◽  
pp. 469-484 ◽  
Author(s):  
Nora Reinolsmann ◽  
Wael Alhajyaseen ◽  
Tom Brijs ◽  
Ali Pirdavani ◽  
Qinaat Hussain ◽  
...  
Keyword(s):  
Driving Simulator ◽  
Control Strategies ◽  
Driving Behavior ◽  
Rural And Urban ◽  
Simulator Study ◽  
The Impact

scholarly journals Investigating the impact of Innovative Treatments on Driving Behavior at School Bus Stops: A Driving Simulator Study

2021 ◽  
Author(s):  
Mustafa Suhail Almallah ◽  
Shabna Sayed Mohammed ◽  
Qinaat Hussain ◽  
Wael K. M. Alhajyaseen
Keyword(s):  
Driving Simulator ◽  
Driving Behavior ◽  
School Bus ◽  
School Buses ◽  
Bus Stop ◽  
Typical Condition ◽  
Simulator Study ◽  
And Control ◽  
The Impact ◽  
Traveling Speed

The illegal overtaking/crossing of stopped school buses has been identified as one of the leading causes of students’ injuries and fatalities. The likelihood of students in getting involved in a school bus-related crash increases during loading/unloading. The main objective of this driving simulator study was to study the effectiveness of different treatments in improving students’ safety by reducing the illegal overtaking/crossing of stopped school buses. Treatments used in this research are LED, Road Narrowing and Red Pavement. All proposed treatments were compared with the control condition (i.e., typical condition in the State of Qatar). Seventy-two subjects with valid Qatari driving license were invited to participate in this study. Each subject was exposed to three situations (i.e., Situation 1: the school bus is stopped in the same traveling direction, Situation 2: the school bus is stopped in the opposite traveling direction, Situation 3: the school bus is not present at the bus stop). Results showed that LED and Road Narrowing treatments were effective in reducing the illegal overtaking/crossing of stopped school buses. Moreover, the stopping behavior for drivers in LED and Road Narrowing was more consistent compared to the Red Pavement and control conditions. Finally, LED and Road Narrowing treatments motivated drivers to reduce their traveling speed by 5.16 km/h and 5.11 km/h, respectively, even with the absence of the school bus. Taking into account the results from this study, we recommend the proposed LED and Road Narrowing as potentially effective treatments to improve students’ safety at school bus stop locations.

scholarly journals The impact of the connected environment on driving behavior and safety: A driving simulator study

2020 ◽  
Vol 144 ◽  
pp. 105643 ◽  
Author(s):  
Yasir Ali ◽  
Anshuman Sharma ◽  
Md. Mazharul Haque ◽  
Zuduo Zheng ◽  
Mohammad Saifuzzaman
Keyword(s):  
Driving Simulator ◽  
Driving Behavior ◽  
Simulator Study ◽  
The Impact

Advance Information on the Road: A Simulator Study of the Effect of Road Markings

1976 ◽  
Vol 18 (6) ◽  
pp. 521-532 ◽  
Author(s):  
Harald Witt ◽  
Carl G. Hoyos
Keyword(s):  
Driving Simulator ◽  
Driving Behavior ◽  
Speed Profile ◽  
The Road ◽  
Positive Effects ◽  
Road Signs ◽  
Advance Information ◽  
Simulator Study ◽  
On The Road ◽  
Accident Statistics

Accident statistics and studies of driving behavior have shown repeatedly that curved roads are hazardous. It was hypothesized that the safety of curves could be improved by indicating in advance the course of the road in a more effective way than do traditional road signs. A code of sequences of stripes put on right edge of the pavement was developed to indicate to the driver the radius of the curve ahead. The main characteristic of this code was the frequency of transitions from code elements to gaps between elements. The effect of these markings was investigated on a driving simulator. Twelve subjects drove on simulated roads of different curvature and with different placement of the code in the approach zone. Some positive effects of the advance information could be observed. The subjects drove more steadily, more precisely, and with a more suitable speed profile.

scholarly journals Predicting Driver Behavior Using Field Experiment Data and Driving Simulator Experiment Data: Assessing Impact of Elimination of Stop Regulation at Railway Crossings

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Toshihisa Sato ◽  
Motoyuki Akamatsu ◽  
Toru Shibata ◽  
Shingo Matsumoto ◽  
Naoki Hatakeyama ◽  
...  
Keyword(s):  
Field Experiments ◽  
Driving Simulator ◽  
Driver Behavior ◽  
Assessment Method ◽  
Driving Behavior ◽  
Experiment Data ◽  
Driving Speed ◽  
Railway Crossing ◽  
The Impact ◽  
Lead Vehicle

We investigated the impact of deregulating the presence of stop signs at railway crossings on car driver behavior. We estimated the probability that a driver would stop inside the crossing, thereby obstructing the tracks, when a lead vehicle suddenly stopped after the crossing and a stop regulation was eliminated. We proposed a new assessment method of the driving behavior as follows: first, collecting driving behavior data in a driving simulator and in a real road environment; then, predicting the probability based on the collected data. In the simulator experiment, we measured the distances between a lead vehicle and the driver’s vehicle and the driver’s response time to the deceleration of the leading vehicle when entering the railway crossing. We investigated the influence of the presence of two leading vehicles on the driver’s vehicle movements. The deceleration data were recorded in the field experiments. Slower driving speed led to a higher probability of stopping inside the railway crossing. The probability was higher when the vehicle in front of the leading vehicle did not slow down than when both the lead vehicle and the vehicle in front of it slowed down. Finally, advantages of our new assessment method were discussed.

On the impact of cannabis consumption on traffic safety: a driving simulator study with habitual cannabis consumers

2019 ◽  
Vol 133 (5) ◽  
pp. 1411-1420 ◽  
Author(s):  
Anne Tank ◽  
Tobias Tietz ◽  
Thomas Daldrup ◽  
Holger Schwender ◽  
Florence Hellen ◽  
...  
Keyword(s):  
Traffic Safety ◽  
Driving Simulator ◽  
Cannabis Consumption ◽  
Simulator Study ◽  
The Impact

A simulator study on the impact of traffic calming measures in urban areas on driving behavior and workload

2013 ◽  
Vol 61 ◽  
pp. 43-53 ◽  
Author(s):  
Caroline Ariën ◽  
Ellen M.M. Jongen ◽  
Kris Brijs ◽  
Tom Brijs ◽  
Stijn Daniels ◽  
...  
Keyword(s):  
Urban Areas ◽  
Driving Behavior ◽  
Traffic Calming ◽  
Simulator Study ◽  
The Impact

Driving Behavior in Weaving Maneuver: A Driving Simulator Study

2016 ◽  
pp. 313-325 ◽  
Author(s):  
Maria Rosaria De Blasiis ◽  
Chiara Ferrante ◽  
Antonella Santilli ◽  
Valerio Veraldi
Keyword(s):  
Driving Simulator ◽  
Driving Behavior ◽  
Simulator Study

Function-Specific Uncertainty Communication in Automated Driving

2019 ◽  
Vol 11 (2) ◽  
pp. 75-97
Author(s):  
Alexander Kunze ◽  
Stephen J. Summerskill ◽  
Russell Marshall ◽  
Ashleigh J. Filtness
Keyword(s):  
Augmented Reality ◽  
Situation Awareness ◽  
Driving Simulator ◽  
Automated Driving ◽  
Driving Experience ◽  
Visual Variables ◽  
Simulator Study ◽  
The Impact

Conveying the overall uncertainties of automated driving systems was shown to improve trust calibration and situation awareness, resulting in safer takeovers. However, the impact of presenting the uncertainties of multiple system functions has yet to be investigated. Further, existing research lacks recommendations for visualizing uncertainties in a driving context. The first study outlined in this publication investigated the implications of conveying function-specific uncertainties. The results of the driving simulator study indicate that the effects on takeover performance depends on driving experience, with less experienced drivers benefitting most. Interview responses revealed that workload increments are a major inhibitor of these benefits. Based on these findings, the second study explored the suitability of 11 visual variables for an augmented reality-based uncertainty display. The results show that particularly hue and animation-based variables are appropriate for conveying uncertainty changes. The findings inform the design of all displays that show content varying in urgency.

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