The impact of the connected environment on driving behavior and safety: A driving simulator study.
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Zuduo Zheng | Mohammad Saifuzzaman | Md Mazharul Haque | Yasir Ali | Anshuman Sharma | Zuduo Zheng | M. Haque | Y. Ali | Anshuman Sharma | Mohammad Saifuzzaman
[1] Paul A. Jennings,et al. Effect of Using an In-Vehicle Smart Driving Aid on Real-World Driver Performance , 2014, IEEE Transactions on Intelligent Transportation Systems.
[2] Edward Chung,et al. A Cooperative Intelligent Transport Systems (C‐ITS)‐based lane‐changing advisory for weaving sections , 2016 .
[3] S. Ilgin Guler,et al. Using connected vehicle technology to improve the efficiency of intersections , 2014 .
[4] Takuya Hashimoto,et al. Development of Pedestrian-to-Vehicle Communication System Prototype for Pedestrian Safety Using both Wide-Area and Direct Communication , 2008, 22nd International Conference on Advanced Information Networking and Applications (aina 2008).
[5] Bart van Arem,et al. The accuracy and timing of pedestrian warnings at intersections: The acceptance from drivers and their preferences , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.
[6] Cristy Ho,et al. Assessing the effectiveness of "intuitive" vibrotactile warning signals in preventing front-to-rear-end collisions in a driving simulator. , 2006, Accident; analysis and prevention.
[7] Hesham A. Rakha,et al. Optimal Lane Selection on Freeways within a Connected Vehicle Environment , 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).
[8] Vahid Balali,et al. Predicting Driver Risky Behavior for Curve Speed Warning Systems Using Real Field Connected Vehicle Data , 2017 .
[9] Ruifeng Zhang,et al. A method for connected vehicle trajectory prediction and collision warning algorithm based on V2V communication , 2017 .
[10] Liping Fu,et al. Connected Vehicle Solution for Winter Road Surface Condition Monitoring , 2015 .
[11] Kevin N. Balke,et al. Potential connected vehicle applications to enhance mobility, safety, and environmental security , 2012 .
[12] Mark S. Young,et al. Cognitive Work Analysis for safe and efficient driving , 2012 .
[13] Zihan Hong,et al. A driver behavior assessment and recommendation system for connected vehicles to produce safer driving environments through a "follow the leader" approach. , 2020, Accident; analysis and prevention.
[14] D F Cooper,et al. TRAFFIC STUDIES AT T-JUNCTIONS. 2. A CONFLICT SIMULATION RECORD , 1976 .
[15] Kristofer D. Kusano,et al. Age and Gender Differences in Time to Collision at Braking From the 100-Car Naturalistic Driving Study , 2014, Traffic injury prevention.
[16] Jyh-Hone Wang,et al. Studying the tailgating issues and exploring potential treatment , 2012 .
[17] Jeroen Hogema,et al. TIME-TO-COLLISION AND COLLISION AVOIDANCE SYSTEMS , 1994 .
[18] Alireza Talebpour,et al. Modeling Driver Behavior in a Connected Environment: Integrated Microscopic Simulation of Traffic and Mobile Wireless Telecommunication Systems , 2016 .
[19] Soumaya Cherkaoui,et al. Studying the impact of DSRC penetration rate on lane changing advisory application , 2016, 2016 IEEE International Conference on Communications (ICC).
[20] Henry X. Liu,et al. A Game Theoretical Approach for Modelling Merging and Yielding Behavior at Freeway On-Ramp Sections , 2007 .
[21] Li-Ta Hsu,et al. A probabilistic model of pedestrian crossing behavior at signalized intersections for connected vehicles , 2016 .
[22] Jian Rong,et al. Effects of on-Board Unit on Driving Behavior in Connected Vehicle Traffic Flow , 2019, Journal of Advanced Transportation.
[23] Ji-Liang Doong,et al. Effects of Interface Workload of In-Vehicle Information Systems on Driving Safety , 2005 .
[24] Daniel V. McGehee,et al. Collision Warning Timing, Driver Distraction, and Driver Response to Imminent Rear-End Collisions in a High-Fidelity Driving Simulator , 2002, Hum. Factors.
[25] Hyungjun Park,et al. Development and Evaluation of Enhanced IntelliDrive-Enabled Lane Changing Advisory Algorithm to Address Freeway Merge Conflict , 2011 .
[26] Robert W G Anderson,et al. The Real-World Safety Potential of Connected Vehicle Technology , 2015, Traffic injury prevention.
[27] Yinhai Wang,et al. A Framework of a V2X Communication System for Enhancing Vehicle and Pedestrian Safety at Un-Signalized Intersections , 2018, Proceedings of the Twelfth International Conference on Management Science and Engineering Management.
[28] Andras Varhelyi,et al. The effects of a driver assistance system for safe speed and safe distance - A real-life field study , 2011 .
[29] Hesham Rakha,et al. Steady-State Car-Following Time Gaps: An Empirical Study Using Naturalistic Driving Data , 2019, Journal of Advanced Transportation.
[30] Xiaomeng Li,et al. Effect of auditory in-vehicle warning information on drivers’ brake response time to red-light running vehicles during collision avoidance , 2016 .
[31] Baher Abdulhai,et al. Assessing the Potential Impacts of Connected Vehicles: Mobility, Environmental, and Safety Perspectives , 2016, J. Intell. Transp. Syst..
[32] Harith Abdulsattar,et al. Surrogate Safety Assessment of Work Zone Rear-End Collisions in a Connected Vehicle Environment: Agent-Based Modeling Framework , 2018, Journal of Transportation Engineering, Part A: Systems.
[33] Chong-Cheng Hsu,et al. The effect of a collision warning system on the driving performance of young drivers at intersections , 2009 .
[34] Peter A. Hancock,et al. The effect of in-vehicle warning systems on speed compliance in work zones , 2011 .
[35] Mark S. Young,et al. The impact of smart driving aids on driving performance and driver distraction , 2011 .
[36] David Shinar,et al. In-vehicle information systems to improve traffic safety in road tunnels , 2008 .
[37] Yaser P. Fallah,et al. Implementation and Evaluation of a Cooperative Vehicle-to-Pedestrian Safety Application , 2017, IEEE Intelligent Transportation Systems Magazine.
[38] Carryl L Baldwin. Acoustic and Semantic Warning Parameters Impact Vehicle Crash Rates , 2007 .
[39] David Shinar,et al. Effects of an In-Vehicle Collision Avoidance Warning System on Short- and Long-Term Driving Performance , 2002, Hum. Factors.
[40] John O Sobanjo,et al. Safety Evaluation of the Advanced Stop Assist System in Connected Vehicle Environment , 2018, Transportation Research Record: Journal of the Transportation Research Board.
[41] Bin Ran,et al. Decentralized Cooperative Lane-Changing Decision-Making for Connected Autonomous Vehicles* , 2016, IEEE Access.
[42] Mandy Dotzauer,et al. Intersection assistance: a safe solution for older drivers? , 2013, Accident; analysis and prevention.
[43] Tal Oron-Gilad,et al. In-Vehicle Stopping Decision Advisory System for Drivers Approaching a Traffic Signal , 2013 .
[44] Robert Gray,et al. A Comparison of Tactile, Visual, and Auditory Warnings for Rear-End Collision Prevention in Simulated Driving , 2008, Hum. Factors.
[45] Wassim G. Najm,et al. ANALYSIS OF LANE CHANGE CRASHES , 2003 .
[46] Katja Vogel,et al. A comparison of headway and time to collision as safety indicators. , 2003, Accident; analysis and prevention.
[47] Torbjørn Rundmo,et al. Attitudes towards traffic safety, driving behaviour and accident involvement among the Norwegian public , 2004, Ergonomics.
[48] Hao Chen,et al. Field Testing of Eco-Speed Control Using V2I Communication , 2016 .
[49] Nan Zheng,et al. Modelling the driving behaviour at a signalised intersection with the information of remaining green time , 2017 .
[50] Johnell O Brooks,et al. Simulator sickness during driving simulation studies. , 2010, Accident; analysis and prevention.
[51] Simon Washington,et al. Gap Acceptance Behavior of Mobile Phone–Distracted Drivers at Roundabouts , 2016 .
[52] Simon Washington,et al. A hazard-based duration model to quantify the impact of connected driving environment on safety during mandatory lane-changing , 2019, Transportation Research Part C: Emerging Technologies.
[53] Cheol Oh,et al. Safety Impacts of Intervehicle Warning Information Systems for Moving Hazards in Connected Vehicle Environments , 2014 .
[54] Junxuan Zhao,et al. Probabilistic Prediction of Pedestrian Crossing Intention Using Roadside LiDAR Data , 2019, IEEE Access.
[55] Jiangchen Li,et al. Vehicle-to-Pedestrian Communication Modeling and Collision Avoiding Method in Connected Vehicle Environment , 2017 .
[56] Antonella Ferrara,et al. Onboard Sensor-Based Collision Risk Assessment to Improve Pedestrians' Safety , 2007, IEEE Transactions on Vehicular Technology.
[57] Guoyuan Wu,et al. Improving traffic operations using real-time optimal lane selection with connected vehicle technology , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.
[58] Stefanie Leung,et al. Gap acceptance and risk-taking by young and mature drivers, both sober and alcohol-intoxicated, in a simulated driving task. , 2005, Accident; analysis and prevention.
[59] Taehyoung Kim,et al. Assessment of Vehicle-to-Vehicle Communication Based Applications in an Urban Network , 2015 .
[60] Ashish Bhaskar,et al. A pattern recognition algorithm for assessing trajectory completeness , 2018, Transportation Research Part C: Emerging Technologies.
[61] Asad J. Khattak,et al. Demo: Freeway Merge Assistance System using DSRC , 2017, CarSys@MobiCom.
[62] Ling Wang,et al. Assessment of the safety benefits of vehicles' advanced driver assistance, connectivity and low level automation systems. , 2018, Accident; analysis and prevention.
[63] Xuedong Yan,et al. Driving-Simulator-Based Test on the Effectiveness of Auditory Red-Light Running Vehicle Warning System Based on Time-To-Collision Sensor , 2014, Sensors.
[64] Paul P Jovanis,et al. Defining and screening crash surrogate events using naturalistic driving data. , 2013, Accident; analysis and prevention.
[65] Meng Wang,et al. Connected variable speed limits control and car-following control with vehicle-infrastructure communication to resolve stop-and-go waves , 2016, J. Intell. Transp. Syst..
[66] Mohamed Abdel-Aty,et al. Longitudinal safety evaluation of connected vehicles' platooning on expressways. , 2017, Accident; analysis and prevention.
[67] Fengxiang Qiao,et al. Socio-demographic impacts on lane-changing response time and distance in work zone with Drivers' Smart Advisory System , 2015 .
[68] R K Narla Siva,et al. コネクテッドビークル技術の進化:スマートドライバーからスマートカーへ...自律運転自動車へ | 文献情報 | J-GLOBAL 科学技術総合リンクセンター , 2013 .
[69] S. Hart,et al. Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .
[70] Lei Zhang,et al. An Adaptive Longitudinal Driving Assistance System Based on Driver Characteristics , 2013, IEEE Transactions on Intelligent Transportation Systems.
[71] Joel M. Cooper,et al. Assessing the visual and cognitive demands of in-vehicle information systems , 2019, Cognitive Research: Principles and Implications.
[72] Peter R. Bakhit,et al. Detecting Imminent Lane Change Maneuvers in Connected Vehicle Environments , 2017 .
[73] Karel Brookhuis,et al. Limiting speed, towards an intelligent speed adapter (ISA) , 1999 .
[74] Haris N. Koutsopoulos,et al. Evaluation of the effect of cooperative infrastructure-to-vehicle systems on driver behavior , 2012 .
[75] Paul M. Salmon,et al. Human Error and Road Transport: Phase One – Literature Review , 2005 .
[76] Hyungjun Park,et al. Connected Vehicle Enabled Freeway Merge Assistance system-field test: Preliminary results of driver compliance to advisory , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.
[77] Michael McGurrin,et al. Benefits of dynamic mobility applications : preliminary estimates from the literature. , 2012 .
[78] Harry Lahrmann,et al. Intelligent speed adaptation: Development of a GPS based ISA-system and field trail of the system with 24 test drivers , 1996 .
[79] Byungkyu Brian Park,et al. Development and Evaluation of a Cooperative Vehicle Intersection Control Algorithm Under the Connected Vehicles Environment , 2012, IEEE Transactions on Intelligent Transportation Systems.
[80] Cyriel Diels,et al. I want to brake free: The effect of connected vehicle features on driver behaviour, usability and acceptance. , 2019, Applied ergonomics.
[81] Zuduo Zheng,et al. Human Factors in Modelling Mixed Traffic of Traditional, Connected, and Automated Vehicles , 2017, AHFE.
[82] Haris N. Koutsopoulos,et al. Modeling Integrated Lane-Changing Behavior , 2003 .
[83] Siva R K Narla,et al. The Evolution of Connected Vehicle Technology: From Smart Drivers to Smart Cars to....Self-Driving Cars. , 2013 .
[84] S. L. Chisholm,et al. Do in-vehicle advanced signs enhance older and younger drivers' intersection performance Driving simulation and eye movement results , 2008, Int. J. Hum. Comput. Stud..