01660877

Component

https://doi.org/10.1177/0361198118794712

As traffic density increases, drivers experience more interaction situations, with a greater need to react and adapt to other road users. Driver distraction as an impairment on road safety and traffic efficiency has been widely discussed. How distracted drivers affect the performance of other drivers and vehicle platoons in traffic flow, however, remains underexplored. This study examines the impact of a low-taskload distraction (cellphone-texting task) not only on the specific distracted driver’s behavior, but also how this behavior influences other drivers, individually and collectively as a group, through a networked driving simulation platform. The concept of interactive driving and implications of virtual environments using a networked multi-driver simulation platform were the two major facilitating factors for carrying out this study. The performance indicators from 12 driver groups (three drivers per group) in a car-following situation with a distracted driver involved are analyzed and compared with a no-distraction trial. The results presented show that the impacts of a phone-texting distraction in traffic flow differ when observing drivers individually or as a four-driver platoon. This implementation has the potential to lay a foundation for continued interactive driving experiment design and can serve as an experimental tool for new vehicle technology applications that consider collective vehicle behavior.

18-03240

English

pp 45-54

2018-12

Transportation Research Record: Journal of the Transportation Research Board

Digital/other

Figures (4) ; References (47)

Behavior; Car following; Distraction; Driver performance; Text messaging; Traffic density; Traffic flow

Highways; Operations and Traffic Management; Safety and Human Factors

TRIS, TRB, ATRI

Jan 8 2018 10:47AM

• Assessing Driving Simulator Validity: A Comparison of Multi-Modal Smartphone Interactions across Simulated and Field Environments
• Bicycling Simulator Calibration: Proposed Framework
• Comparison of Self-Declared Mobile Use While Driving in Canada, the United States, and Europe: Results from the European Survey of Road Users’ Safety Attitudes
• Driver’s Visual Performance in Rear-End Collision Avoidance Process under the Influence of Cell Phone Use
• Electrophysiological Measure of Impaired Information Processing in Drivers with Hematological Malignancy
• Evaluation of Downstream Merge Behaviors Resulting from Driver Lane Choice: A Driving Simulator Study
• Exploring the Relationship between Electroencephalography (EEG) and Ordinary Driving Behavior: A Simulated Driving Study
• Field Study of Driver Exiting Behavior at Complex Interchanges
• In-Vehicle Passing Collision Warning System for Two-Lane Highways Considering Driver Characteristics
• Investigation of Time and Speed Perception using a Driving Simulator
• Models of Human Decision-Making as Tools for Estimating and Optimizing Impacts of Vehicle Automation
• Multi-Level Driver Workload Prediction using Machine Learning and Off-the-Shelf Sensors
• Prevalence of Engagement in Single versus Multiple Types of Secondary Tasks: Results from the Naturalistic Engagement in Secondary Task (NEST) Dataset
• The Challenge of Advanced Driver Assistance Systems Assessment: A Scale for the Assessment of the Human–Machine Interface of Advanced Driver Assistance Technology
• The Effects of Voice System Design Components on Driver Workload
• Variations in Driver Behavior: An Analysis of Car-Following Behavior Heterogeneity as a Function of Road Type and Traffic Condition
• Voice Control Tasks on Cognitive Workload and Driving Performance: Implications of Modality, Difficulty, and Duration