Effects of crash warning systems on rear-end crash avoidance behavior under fog conditions
暂无分享,去创建一个
Juneyoung Park | Mohamed Abdel-Aty | Yina Wu | Jiazheng Zhu | M. Abdel-Aty | Juneyoung Park | Yina Wu | Jiazheng Zhu | Jiazheng Zhu
[1] Jing Shi,et al. Effect Analysis of Intermittent Release Measures in Heavy Fog Weather with an Improved CA Model , 2013 .
[2] Ming Chen,et al. Drivers’ rear end collision avoidance behaviors under different levels of situational urgency , 2016 .
[3] Kaan Ozbay,et al. Derivation and Validation of New Simulation-Based Surrogate Safety Measure , 2008 .
[4] A Lie,et al. Effectiveness of low speed autonomous emergency braking in real-world rear-end crashes. , 2015, Accident; analysis and prevention.
[5] Andrés Soler,et al. Efficacy and feeling of a vibrotactile Frontal Collision Warning implemented in a haptic pedal , 2010 .
[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] Thomas J Triggs,et al. Driver distraction: the effects of concurrent in-vehicle tasks, road environment complexity and age on driving performance. , 2006, Accident; analysis and prevention.
[8] Robert E Mann,et al. Gender differences and demographic influences in perceived concern for driver safety and support for impaired driving countermeasures. , 2012, Journal of safety research.
[9] C. Spence,et al. Multisensory warning signals for event perception and safe driving , 2008 .
[10] Mohamed Abdel-Aty,et al. Crash risk analysis during fog conditions using real-time traffic data. , 2017, Accident; analysis and prevention.
[11] Mohamed Abdel-Aty,et al. Comparative analysis of zonal systems for macro-level crash modeling. , 2017, Journal of safety research.
[12] Henrik Lind. An efficient visual forward collision warning display for vehicles , 2007 .
[13] Mohamed Abdel-Aty,et al. Intersection crash prediction modeling with macro-level data from various geographic units. , 2017, Accident; analysis and prevention.
[14] Stephen Legg,et al. The effect of cell phone type on drivers subjective workload during concurrent driving and conversing. , 2003, Accident; analysis and prevention.
[15] Katsuya Matsunaga,et al. Differences of drivers' reaction times according to age and mental workload. , 2008, Accident; analysis and prevention.
[16] Hong Z. Tan,et al. Driver Reaction Time to Tactile and Auditory Rear-End Collision Warnings While Talking on a Cell Phone , 2009, Hum. Factors.
[17] Lana M Trick,et al. Driving in fog: the effects of driving experience and visibility on speed compensation and hazard avoidance. , 2012, Accident; analysis and prevention.
[18] Don Scott,et al. Car following decisions under three visibility conditions and two speeds tested with a driving simulator. , 2007, Accident; analysis and prevention.
[19] Nicolas Saunier,et al. Pedestrian Crosswalk Safety at Nonsignalized Crossings During Nighttime: Use of Thermal Video Data and Surrogate Safety Measures , 2016 .
[20] Michael E Rakauskas,et al. Effects of naturalistic cell phone conversations on driving performance. , 2004, Journal of safety research.
[21] Bing Wu,et al. Shockwave-based queue estimation approach for undersaturated and oversaturated signalized intersections using multi-source detection data , 2017, J. Intell. Transp. Syst..
[22] Robert Gray,et al. A Comparison of Tactile, Visual, and Auditory Warnings for Rear-End Collision Prevention in Simulated Driving , 2008, Hum. Factors.
[23] Mohamed Abdel-Aty,et al. Analysis of drivers' behavior under reduced visibility conditions using a Structural Equation Modeling approach , 2011 .
[24] Shanshan Zhao,et al. Weather impacts on single-vehicle truck crash injury severity. , 2016, Journal of safety research.
[25] Yang Liu,et al. Effects of foggy conditions on drivers’ speed control behaviors at different risk levels , 2014 .
[26] Daxin Tian,et al. A rear-end collision avoidance system of connected vehicles , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).
[27] 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 .
[28] Matthew P. Reed,et al. Comparison of driving performance on-road and in a low-cost simulator using a concurrent telephone dialling task , 1999 .
[29] Katharina Dahmen-Zimmer,et al. Effects of time pressure on left-turn decisions of elderly drivers in a fixed-base driving simulator , 2011 .
[30] Helai Huang,et al. Integrating macro- and micro-level safety analyses: a Bayesian approach incorporating spatial interaction , 2019 .
[31] John Richardson,et al. Alarm timing, trust and driver expectation for forward collision warning systems. , 2006, Applied ergonomics.
[32] M. Rizzo,et al. Driver Performance in the Moments Surrounding a Microsleep. , 2008, Transportation research. Part F, Traffic psychology and behaviour.
[33] 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.
[34] Xuedong Yan,et al. Discrimination of Effects between Directional and Nondirectional Information of Auditory Warning on Driving Behavior , 2015 .
[35] Mohamed Abdel-Aty,et al. A study on crashes related to visibility obstruction due to fog and smoke. , 2011, Accident; analysis and prevention.
[36] Nicolas Saunier,et al. A novel framework to evaluate pedestrian safety at non-signalized locations. , 2018, Accident; analysis and prevention.
[37] Michael J. Flannagan,et al. RISK OF FATAL REAR-END COLLISIONS: IS THERE MORE TO IT THAN ATTENTION? , 2005 .
[38] Ellen Haas,et al. Multimodal warnings to enhance risk communication and safety , 2014 .
[39] Yuting Zhang,et al. The influence of in-vehicle speech warning timing on drivers' collision avoidance performance at signalized intersections , 2015 .
[40] Niklas Strand,et al. Semi-automated versus highly automated driving in critical situations caused by automation failures , 2014 .
[41] Chong-Cheng Hsu,et al. The effect of a collision warning system on the driving performance of young drivers at intersections , 2009 .
[42] David Crundall,et al. VISUAL SEARCH WHILE DRIVING: SKILL AND AWARENESS DURING INSPECTION OF THE SCENE , 2002 .
[43] Frank Drews,et al. A Comparison of the Cell Phone Driver and the Drunk Driver , 2004, Hum. Factors.
[44] Fabrizio D'Amico,et al. Applying telecommunications methodology to road safety for rear-end collision avoidance , 2015 .
[45] Normand Teasdale,et al. Mental workload when driving in a simulator: effects of age and driving complexity. , 2009, Accident; analysis and prevention.
[46] Juneyoung Park,et al. Developing an algorithm to assess the rear-end collision risk under fog conditions using real-time data , 2018 .
[47] Xiaomeng Li,et al. Effects of fog, driver experience and gender on driving behavior on S-curved road segments. , 2015, Accident; analysis and prevention.
[48] Matias Viström,et al. Effects of forward collision warning and repeated event exposure on emergency braking , 2013 .
[49] Qing Cai,et al. Shock Wave Approach for Estimating Queue Length at Signalized Intersections by Fusing Data from Point and Mobile Sensors , 2014 .
[50] Hong Yang,et al. Estimation of Traffic Conflict Risk for Merging Vehicles on Highway Merge Section , 2011 .
[51] Trent Victor,et al. Eye movement and brake reactions to real world brake-capacity forward collision warnings--a naturalistic driving study. , 2013, Accident; analysis and prevention.