Statistical accident analysis supporting the control of autonomous vehicles
暂无分享,去创建一个
[1] S. S. S. Yahaya,et al. Sensitivity analysis of Welch's t-test , 2014 .
[2] Tessa K Anderson,et al. Kernel density estimation and K-means clustering to profile road accident hotspots. , 2009, Accident; analysis and prevention.
[3] Maen Ghadi,et al. A comparative analysis of black spot identification methods and road accident segmentation methods. , 2019, Accident; analysis and prevention.
[4] Richard Andrášik,et al. Identification of hazardous road locations of traffic accidents by means of kernel density estimation and cluster significance evaluation. , 2013, Accident; analysis and prevention.
[5] Constantine Samaras,et al. Cost and benefit estimates of partially-automated vehicle collision avoidance technologies. , 2016, Accident; analysis and prevention.
[6] Bhagwant Persaud,et al. Safety Prediction Models , 2007 .
[7] Kip Smith,et al. Pedestrian injury mitigation by autonomous braking. , 2010, Accident; analysis and prevention.
[8] Mohamed Abdel-Aty,et al. Real-time crash prediction models: State-of-the-art, design pathways and ubiquitous requirements. , 2019, Accident; analysis and prevention.
[9] Yuanchang Xie,et al. Crash frequency analysis of different types of urban roadway segments using generalized additive model. , 2012, Journal of safety research.
[10] Pál Hegyi,et al. Searching possible accident black spot locations with accident analysis and GIS software based on GPS coordinates , 2017 .
[11] Francisco Alonso,et al. Knowledge of the Concepts of "Black Spot", "Grey Spot" and "High Accident Concentration Sections" Among Drivers , 2016 .
[12] Anders Kullgren,et al. A test-based method for the assessment of pre-crash warning and braking systems. , 2013, Accident; analysis and prevention.
[13] Sandor Szenasi. PLANAR SLIDING WINDOW TECHNIQUE FOR SEARCHING ACCIDENT HOT SPOTS , 2011 .
[14] S. Lassarre,et al. A new theory of complexity for safety research. The case of the long-lasting gap in road safety outcomes between France and Great Britain , 2014 .
[15] Ezra Hauer,et al. Estimating Safety by the Empirical Bayes Method: A Tutorial , 2002 .
[16] Sandor Szenasi,et al. A method to identify black spot candidates in built-up areas , 2017 .
[17] Michel Mouchart,et al. The local spatial autocorrelation and the kernel method for identifying black zones. A comparative approach. , 2003, Accident; analysis and prevention.
[18] Wen Cheng,et al. Experimental evaluation of hotspot identification methods. , 2005, Accident; analysis and prevention.
[19] Nick Hounsell,et al. Driver response to variable message sign information in London , 2002 .
[20] Geert Wets,et al. Ranking and selecting dangerous crash locations: correcting for the number of passengers and Bayesian ranking plots. , 2006, Journal of safety research.
[21] Jessica S Jermakian,et al. Crash avoidance potential of four passenger vehicle technologies. , 2011, Accident; analysis and prevention.
[22] Will Murray,et al. Work-Related Road Safety: A Case Study of Roche Australia , 2012 .
[23] Sandor M. Veres,et al. Autonomous vehicle control systems — a review of decision making , 2011 .
[24] Daniel Stojcsics. Autonomous Waypoint-based Guidance Methods for Small Size Unmanned Aerial Vehicles , 2014 .
[25] Hao Wang,et al. Comparative analysis of the spatial analysis methods for hotspot identification. , 2014, Accident; analysis and prevention.
[27] Mario Romero,et al. Crash Databases in Australasia, the European Union, and the United States , 2013 .
[28] Philippe Nitsche,et al. Pre-crash scenarios at road junctions: A clustering method for car crash data. , 2017, Accident; analysis and prevention.
[29] James Lenard,et al. Typical pedestrian accident scenarios for the development of autonomous emergency braking test protocols. , 2014, Accident; analysis and prevention.