References#
L. D. Adams, “Review of the literature on obstacle avoidance maneuvers: braking versus steering,” tech. rep., University of Michigan, Transportation Research Institute, Aug. 1994.
W. K. Alhajyaseen, M. Asano, and H. Nakamura, “Left-turn gap acceptance models considering pedestrian movement characteristics,” Accident Analysis & Prevention, vol. 50, pp. 175–185, 2013.
W. K. Alhajyaseen, “The integration of conflict probability and severity for the safety assessment of intersections,” Arabian Journal for Science and Engineering, vol. 40, no. 2, pp. 421–430, 2015.
B. L. Allen, B. T. Shin, and P. J. Cooper, “Analysis of Traffic Conflicts and Collisions,” Transportation Research Record, vol. 667, pp. 67–74, 1978.
M. Althoff, O. Stursberg, and M. Buss, “Model-Based Probabilistic Collision Detection in Autonomous Driving,” IEEE Transactions on Intelligent Transportation Systems, vol. 10, pp. 299–310, June 2009.
J. Ambros, J. Altmann, C. Jurewicz, and A. Chevalier, “Proactive assessment of road curve safety using floating car data: An exploratory study,” Archives of Transport, vol. 50, pp. 7–15, June 2019.
J. Archer, Indicators for traffic safety assessment and prediction and their application in micro-simulation modelling: A study of urban and suburban intersections. PhD thesis, KTH Royal Institute of Technology, Stockholm, Sweden, 2005.
V. Astarita, G. Guido, A. Vitale, and V. Giofré, “A new microsimulation model for the evaluation of traffic safety performances,” European Transport Trasporti Europei, no. 51, 2012.
J. Autey, T. Sayed, and M. H. Zaki, “Safety evaluation of right-turn smart channels using automated traffic conflict analysis,” Accident Analysis & Prevention, vol. 45, pp. 120–130, 2012.
O. Bagdadi, “Estimation of the severity of safety critical events,” Accident Analysis & Prevention, vol. 50, pp. 167–174, 2013.
H. Bellem, B. Thiel, M. Schrauf, and J. F. Krems, “Comfort in automated driving: An analysis of preferences for different automated driving styles and their dependence on personality traits,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 55, pp. 90–100, 2018.
M. Benmimoun, F. Fahrenkrog, A. Zlocki, and L. Eckstein, “Incident detection based on vehicle CAN-data within the large scale field operational test ’euroFOT’,” in 22nd Enhanced Safety of Vehicles Conference (ESV 2011), 2011.
A. Broadhurst, S. Baker, and T. Kanade, “Monte Carlo road safety reasoning,” in IEEE Proceedings. Intelligent Vehicles Symposium, pp. 319–324, IEEE, 2005.
S. Cafiso, A. G. Garcia, R. Cavarra, and M. R. Rojas, “Crosswalk safety evaluation using a pedestrian risk index as traffic conflict measure,” in Proceedings of the 3rd International Conference on Road safety and Simulation, pp. 1–15, 2011.
W. L. Carlson, “Crash injury prediction model,” Accident Analysis & Prevention, vol. 11, no. 2, pp. 137–153, 1979.
C. Chai, X. Zeng, X. Wu, and X. Wang, “Safety evaluation of responsibility-sensitive safety (RSS) on autonomous car-following maneuvers based on surrogate safety measurements,” in 22nd International Conference on Intelligent Transportation Systems (ITSC), pp. 175–180, IEEE, 2019.
F. J. C. Cunto and F. F. Saccomanno, “Microlevel traffic simulation method for assessing crash potential at intersections,” in Proceedings of the 86th Annual Meeting of the Transportation Research Board, 2007.
F. Cunto and F. F. Saccomanno, “Calibration and validation of simulated vehicle safety performance at signalized intersections,” Accident Analysis & prevention, vol. 40, no. 3, pp. 1171–1179, 2008.
J. Eggert, “Predictive risk estimation for intelligent ADAS functions,” in 17th International Conference on Intelligent Transportation Systems (ITSC), pp. 711–718, IEEE, 2014.
A. Eidehall, “Multi-target threat assessment for automotive applications,” in 14th International Conference on Intelligent Transportation Systems (ITSC), pp. 433–438, IEEE, 2011.
K. El-Basyouny and T. Sayed, “Safety performance functions using traffic conflicts,” Safety Science, vol. 51, no. 1, pp. 160–164, 2013.
L. Evans, “Driver injury and fatality risk in two-car crashes versus mass ratio inferred using newtonian mechanics,” Accident Analysis & Prevention, vol. 26, no. 5, pp. 609–616, 1994.
F. Feng, S. Bao, J. R. Sayer, C. Flannagan, M. Manser, and R. Wunderlich, “Can vehicle longitudinal jerk be used to identify aggressive drivers? an examination using naturalistic driving data,” Accident Analysis & Prevention, vol. 104, pp. 125–136, 2017.
D. Gabauer and H. Gabler, “Comparison of Delta-V and Occupant Impact Velocity Crash Severity Metrics Using Event Data Recorders,” Annual proceedings of the Association for the Advancement of Automotive Medicine, vol. 50, pp. 57–71, Feb. 2006.
G. Guido, F. Saccomanno, A. Vitale, V. Astarita, and D. Festa, “Comparing safety performance measures obtained from video capture data,” Journal of Transportation Engineering, vol. 137, no. 7, pp. 481–491, 2011.
A. Hansson, “Studies in driver behaviour, with applications in traffic design and planning. Two examples,” Tech. Rep. Report No. Bulletin 11, Institutionen för Trafikteknik, Lund, Sweden, 1975.
J. C. Hayward, “Near miss determination through use of a scale of danger,” in 51st Annual Meeting of the Highway Research Board, vol. 384 of Highway Research Record, pp. 24–34, Highway Research Board, 1972.
J. Hillenbrand, A. M. Spieker, and K. Kroschel, “A multilevel collision mitigation approach–Its situation assessment, decision making, and performance tradeoffs,” IEEE Transactions on Intelligent Transportation Systems, vol. 7, no. 4, pp. 528–540, 2006.
B. Huber, S. Herzog, C. Sippl, R. German, and A. Djanatliev, “Evaluation of Virtual Traffic Situations for Testing Automated Driving Functions based on Multidimensional Criticality Analysis,” in 23rd International Conference on Intelligent Transportation Systems (ITSC), pp. 1–7, IEEE, 2020.
C. Hupfer, “Deceleration to safety time (DST)–a useful figure to evaluate traffic safety?,” in International Cooperation of Theories and Concepts in Traffic Safety (ICTCT) Conference, 1997.
Y. M. Lee, R. Madigan, G. Markkula, J. Pekkanen, N. Merat, H. Avsar, F. Utesch, A. Sieben, C. Schießl, A. Dietrich, A. Boos, B. Markus, F. Weber, F. Tango, and E. Portouli, “interACT D.6.1. Methodologies for the evaluation and impact assessment of the interACT solutions,” dissemination report, interACT project, 2019.
“ISO 11270:2014 – Intelligent transport systems — Lane keeping assistance systems (LKAS) — Performance requirements and test procedures,” Standard, ISO, Geneva, Switzerland, May 2014.
“ISO 15622:2018 – Intelligent transport systems — Adaptive cruise control systems — Performance requirements and test procedures,” Standard, ISO, Geneva, Switzerland, Sept. 2018.
“ISO 22179:2009 – Intelligent transport systems — Full speed range adaptive cruise control (FSRA) systems — Performance requirements and test procedures,” Standard, ISO, Geneva, Switzerland, Nov. 2009.
J. Jansson, Collision Avoidance Theory: With application to automotive collision mitigation. PhD Thesis, Linköping University, Linköping, Sweden, 2005.
H. Jeppsson, M. Östling, and N. Lubbe, “Real life safety benefits of increasing brake deceleration in car-to-pedestrian accidents: Simulation of vacuum emergency braking,” Accident Analysis & Prevention, vol. 111, pp. 311–320, 2018.
S. Jesenski, N. Tiemann, J. E. Stellet, and J. M. Zöllner, “Scalable generation of statistical evidence for the safety of automated vehicles by the use of importance sampling,” in 23rd International Conference on Intelligent Transportation Systems (ITSC), pp. 1–8, 2020.
C. Johnsson, A. Laureshyn, and T. d. Ceunynck, “In search of surrogate safety indicators for vulnerable road users: a review of surrogate safety indicators,” Transport Reviews, vol. 38, no. 6, pp. 765–785, 2018.
H. C. Joksch, “Velocity change and fatality risk in a crash–a rule of thumb,” Accident Analysis & Prevention, vol. 25, pp. 103–104, 1993.
P. Junietz, F. Bonakdar, and B. Klamann, “PEGASUS Bericht: Kritikalitätsmetriken,” tech. rep., Institute of Automotive Engineering (FZD), Darmstadt, 2018.
P. Junietz, F. Bonakdar, B. Klamann, and H. Winner, “Criticality metric for the safety validation of automated driving using model predictive trajectory optimization,” in 21st International Conference on Intelligent Transportation Systems (ITSC), pp. 60–65, IEEE, 2018.
P. Koopman, B. Osyk, and J. Weast, “Autonomous vehicles meet the physical world: Rss, variability, uncertainty, and proving safety,” in International Conference on Computer Safety, Reliability, and Security, pp. 245–253, Springer, 2019.
Y. Kuang, X. Qu, and S. Wang, “A tree-structured crash surrogate measure for freeways,” Accident Analysis & Prevention, vol. 77, pp. 137–148, 2015.
A. Laureshyn, Å. Svensson, and C. Hydén, “Evaluation of traffic safety, based on micro-level behavioural data: Theoretical framework and first implementation,” Accident Analysis & Prevention, vol. 42, no. 6, pp. 1637–1646, 2010.
A. Laureshyn, T. De Ceunynck, C. Karlsson, Å. Svensson, and S. Daniels, “In search of the severity dimension of traffic events: Extended Delta-V as a traffic conflict indicator,” Accident Analysis & Prevention, vol. 98, pp. 46–56, 2017.
M. Mages, M. Hopstock, and F. Klanner, “Kreuzungsassistenz,” in Handbuch Fahrerassistenzsysteme, pp. 572–581, Springer, 2009.
S. S. Mahmud, L. Ferreira, M. S. Hoque, and A. Tavassoli, “Application of proximal surrogate indicators for safety evaluation: A review of recent developments and research needs,” IATSS research, vol. 41, no. 4, pp. 153–163, 2017.
Minderhoud, Michiel, M and Bovy, Piet, H.L., “Extended time-to-collision measures for road traffic safety assessment,” Accident Analysis & Prevention, vol. 33, pp. 89–97, 2001.
E. S. Morales, R. Membarth, A. Gaull, P. Slusallek, T. Dirndorfer, A. Kammenhuber, C. Lauer, and M. Botsch, “Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance,” in 2019 IEEE Intelligent Vehicles Symposium (IV), pp. 2164–2171, IEEE, 2019.
C. Neurohr, L. Westhofen, M. Butz, M. H. Bollmann, U. Eberle, and R. Galbas, “Criticality analysis for the verification and validation of automated vehicles,” IEEE Access, vol. 9, pp. 18016–18041, 2021.
D. Nistér, H.-L. Lee, J. Ng, and Y. Wang, “The safety force field,” White Paper, NVIDIA, Santa Clara, USA, Mar. 2019.
K. Ogawa, “An analysis of traffic conflict phenomenon of bicycles using space occupancy index,” Journal of the Eastern Asia Society for Transportation Studies, vol. 7, pp. 1820–1827, 2007.
C. Oh, S. Park, and S. G. Ritchie, “A method for identifying rear-end collision risks using inductive loop detectors,” Accident Analysis & Prevention, vol. 38, no. 2, pp. 295–301, 2006.
K. Ozbay, H. Yang, B. Bartin and S. Mudigonda, “Derivation and validation of new simulation-based surrogate safety measure,” Transportation Research Record, pp. 105-113, 2008.
M. Paul and I. Ghosh, “Post encroachment time threshold identification for right-turn related crashes at unsignalized intersections on intercity highways under mixed traffic,” International Journal of Injury Control and Safety Promotion, vol. 27, pp. 121–135, Sept. 2019.
L. N. Peesapati, M. P. Hunter, and M. O. Rodgers, “Can post encroachment time substitute intersection characteristics in crash prediction models?,” Journal of Safety Research, vol. 66, pp. 205–211, Sept. 2018.
T. Petzoldt, “On the relationship between pedestrian gap acceptance and time to arrival estimates,” Accident Analysis & Prevention, vol. 72, pp. 127–133, 2014.
J. Powell and R. Palacı́n, “Passenger stability within moving railway vehicles: Limits on maximum longitudinal acceleration,” Urban Rail Transit, vol. 1, no. 2, pp. 95–103, 2015.
H. Rakha, S. Sadek, and I. Zohdy, “Modeling differences in driver left-turn gap acceptance behavior using bayesian and bootstrap approaches,” Procedia-Social and Behavioral Sciences, vol. 16, pp. 739–750, 2011.
G. Ryb, P. Dischinger, J. Kufera, and C. Burch, “Delta V, Principal Direction of Force, and Restraint Use Contributions to Motor Vehicle Crash Mortality,” Journal of Trauma and Acute Care Surgery, vol. 63, pp. 1000–1005, Nov. 2007.
E. Sacchi and T. Sayed, “Conflict-based safety performance functions for predicting traffic collisions by type,” Transportation Research Record, vol. 2583, no. 1, pp. 50–55, 2016.
R. Schubert, K. Schulze, and G. Wanielik, “Situation assessment for automatic lane-change maneuvers,” IEEE Transactions on Intelligent Transportation Systems, vol. 11, no. 3, pp. 607–616, September 2010.
S. Shalev-Shwartz, S. Shammah, and A. Shashua, “On a Formal Model of Safe and Scalable Self-driving Cars,” arXiv, Aug. 2017. arXiv: 1708.06374.
S. G. Shelby, “Delta-V as a measure of traffic conflict severity,” in 3rd International Conference on Road Safety and Simulation, pp. 14–16, 2011.
P. St-Aubin, N. Saunier, and L. F. Miranda-Moreno, “Comparison of various time-to-collision prediction and aggregation methods for surrogate safety analysis,” in TRB 94th Annual Meeting Compendium of Papers, Transportation Research Board, 2015.
J. E. Stellet, P. Vogt, J. Schumacher, W. Branz, and J. M. Zöllner, “Analytical derivation of performance bounds of autonomous emergency brake systems,” in 2016 IEEE Intelligent Vehicles Symposium (IV), pp. 220–226, IEEE, 2016.
A. Tamke, T. Dang, and G. Breuel, “A flexible method for criticality assessment in driver assistance systems,” in 2011 IEEE Intelligent Vehicles Symposium (IV), pp. 697–702, IEEE, June 2011.
H. Tsukaguchi and M. Mori, “Occupancy indices and its application to planning of residential streets,” Doboku Gakkai Ronbunshu, vol. 1987, no. 383, pp. 141–144, 1987.
“UN Regulation No 157 – Uniform provisions concerning the approval of vehicles with regards to Automated Lane Keeping Systems [2021/389],” regulation, UN, Geneva, Switzerland, Mar. 2021.
“UN Regulation No 79 – Uniform provisions concerning the approval of vehicles with regard to steering equipment [2018/1947],” regulation, UN, Geneva, Switzerland, Dec. 2018.
N. Uno, Y. Iida, S. Itsubo, and S. Yasuhara, “A microscopic analysis of traffic conflict caused by lane-changing vehicle at weaving section,” in Proceedings of the 13th Mini-EURO Conference-Handling Uncertainty in the Analysis of Traffic and Transportation Systems, Bari, Italy, pp. 10–13, 2002.
A. Várhelyi, “Drivers’ speed behaviour at a zebra crossing: a case study,” Accident Analysis & Prevention, vol. 30, no. 6, pp. 731–743, 1998.
W. Wachenfeld, P. Junietz, R. Wenzel, and H. Winner, “The worst-time-to-collision metric for situation identification,” in 2016 IEEE Intelligent Vehicles Symposium (IV), pp. 729–734, IEEE, 2016.
S. Wagner, K. Groh, T. Kuhbeck, M. Dorfel, and A. Knoll, “Using Time-to-React based on Naturalistic Traffic Object Behavior for Scenario-Based Risk Assessment of Automated Driving,” in 2018 IEEE Intelligent Vehicles Symposium (IV), pp. 1521–1528, IEEE, 2018.
H. Wakabayashi, Y. Takahashi, S. Niimi, and K. Renge, “Traffic Conflict Analysis using Vehicle Tracking System/Digital VCR and Proposal of a New Conflict Indicator,” Infrastructure Planning Review, vol. 20, pp. 949–956, 2003.
M. T. Wolf and J. W. Burdick, “Artificial potential functions for highway driving with collision avoidance,” in 2008 IEEE International Conference on Robotics and Automation, pp. 3731–3736, IEEE, 2008.
L. Zheng and T. Sayed, “Comparison of traffic conflict indicators for crash estimation using peak over threshold approach,” Transportation Research Record, vol. 2673, no. 5, pp. 493–502, 2019.
L. Westhofen, C. Neurohr, T. Koopmann, M. Butz, B. U. Schütt, F. Utesch, B. Kramer, C. Gutenkunst, and E. Böde, “Criticality Metrics for Automated Vehicles: A Review and Suitability Analysis of the State of the Art,” in Archives of Computational Methods in Engineering, 2022, https://doi.org/10.1007/s11831-022-09788-7
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