Impact of Distracted Drivers on Individual and Group Behavior of Following Vehicles: A Networked Multi-Driver Simulator Study

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.

[1]  Christian Maag,et al.  Assisting Drivers’ Merging onto the Motorway: Evaluation of a New Advanced Driver Assistance System (ADAS) using Multi-driver Simulation , 2012 .

[2]  Frank Drews,et al.  Profiles in Driver Distraction: Effects of Cell Phone Conversations on Younger and Older Drivers , 2004, Hum. Factors.

[3]  Yao Xiao,et al.  Study on the Influence of Driving Distraction on Traffic Flow considering the Stochastic Duration Time of Distraction , 2016 .

[4]  Frank Drews,et al.  Text Messaging During Simulated Driving , 2009, Hum. Factors.

[5]  Yoko Ishigami,et al.  Is a hands-free phone safer than a handheld phone? , 2009, Journal of safety research.

[6]  Yingzi Lin,et al.  A Natural Contact Sensor Paradigm for Nonintrusive and Real-Time Sensing of Biosignals in Human-Machine Interactions , 2011, IEEE Sensors Journal.

[7]  Jing Xu,et al.  A NETWORKED MULTI-DRIVERS SIMULATION PLATFORM FOR INTERACTIVE DRIVING BEHAVIOR STUDY , 2014 .

[8]  Crystal Conde,et al.  Are we ready? , 2008, Texas medicine.

[9]  Jing Shi,et al.  Analyzing the Influence of Mobile Phone Use of Drivers on Traffic Flow Based on an Improved Cellular Automaton Model , 2015 .

[10]  Hua Cai,et al.  Coordinating Cognitive Assistance With Cognitive Engagement Control Approaches in Human–Machine Collaboration , 2012, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[11]  Kareem Abdelgawad,et al.  Interest Manager for Networked Driving Simulation Based on High-Level Architecture , 2017 .

[12]  Ding-Wei Huang,et al.  Lane-changing behavior on highways. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[13]  Jeffry Allen Greenberg,et al.  THE EFFECT OF LATERAL MOTION CUES DURING SIMULATED DRIVING , 2003 .

[14]  Nicolas Rohleder,et al.  Distraction coping predicts better cortisol recovery after acute psychosocial stress , 2017, Biological Psychology.

[15]  Yingzi Lin Toward Intelligent Human Machine Interactions , 2017 .

[16]  Dirk Helbing,et al.  Understanding widely scattered traffic flows, the capacity drop, and platoons as effects of variance-driven time gaps. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[17]  Mark Asbridge,et al.  The use of meta-analysis or research synthesis to combine driving simulation or naturalistic study results on driver distraction. , 2014, Journal of safety research.

[18]  Christian Maag,et al.  REAL VS. SIMULATED SURROUNDING TRAFFIC - DOES IT MATTER? , 2014 .

[19]  Chaozhong Wu,et al.  On-road experimental study on driving anger identification model based on physiological features by ROC curve analysis , 2017 .

[20]  C Collet,et al.  Phoning while driving I: a review of epidemiological, psychological, behavioural and physiological studies , 2010, Ergonomics.

[21]  James C. Benneyan,et al.  Study the Headway Distance and Physiological Responses of Driver Distraction – An experiment on Networked Multi-Drivers Simulator , 2015 .

[22]  Karel Brookhuis,et al.  HMI and Safety-Related Driver Performance , 2004 .

[23]  J C F de Winter,et al.  Concurrent audio-visual feedback for supporting drivers at intersections: A study using two linked driving simulators. , 2017, Applied ergonomics.

[24]  Takashi Bando,et al.  Networked driving simulator based on SIGVerse and lane-change analysis according to frequency of driving , 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.

[25]  Xiaofeng Ma,et al.  Optimal Threshold Determination for Discriminating Driving Anger Intensity Based on EEG Wavelet Features and ROC Curve Analysis , 2016, Inf..

[26]  D. Strayer,et al.  Cell phone-induced failures of visual attention during simulated driving. , 2003, Journal of experimental psychology. Applied.

[27]  Kristie Lee Young,et al.  Analysis of the literature: the use of mobile phones while driving , 2007 .

[28]  Joseph E. Hummer,et al.  Determining the Best Method for Measuring No-Passing Zones , 2000 .

[29]  Simon Washington,et al.  Impact of mobile phone use on car-following behaviour of young drivers. , 2015, Accident; analysis and prevention.

[30]  George Yannis,et al.  Mobile phone use by young drivers: effects on traffic speed and headways , 2010 .

[31]  Karel Brookhuis,et al.  MEASURING DRIVING PERFORMANCE BY CAR-FOLLOWING IN TRAFFIC , 1994 .

[32]  H. Lieu THE PHYSICS OF TRAFFIC: EMPIRICAL FREEWAY PATTERN FEATURES, ENGINEERING APPLICATIONS, AND THEORY , 2005 .

[33]  Peter T. Martin,et al.  An Investigation of Driver Distraction Near the Tipping Point of Traffic Flow Stability , 2009, Hum. Factors.

[34]  George Yannis,et al.  Review of Driving Performance Parameters Critical for Distracted Driving Research , 2017 .

[35]  Dominik Mühlbacher,et al.  The effect of car-following on lateral guidance during cognitive load: A study conducted in the multi-driver simulation , 2011 .

[36]  Simon Washington,et al.  Understanding the impacts of mobile phone distraction on driving performance: A systematic review , 2016 .

[37]  Nicholas Roy,et al.  The impact of a naturalistic hands-free cellular phone task on heart rate and simulated driving performance in two age groups , 2011 .

[38]  Katharina Oeltze,et al.  Benefits and challenges of multi-driver-simulator studies , 2015 .

[39]  Crystal A. Franklin,et al.  Impact of distracted driving on safety and traffic flow. , 2013, Accident; analysis and prevention.

[40]  Matthew Theriot,et al.  Development of a Simulation Test Bed for Connected Vehicles using the LSU Driving Simulator , 2018 .

[41]  Christian Maag,et al.  Anger and bother experience when driving with a traffic light assistant : A multi-driver simulator study , 2015 .

[42]  Frank A. Drews,et al.  Profiles in Cell Phone-Induced Driver Distraction , 2011 .