S. Abburu, A survey on ontology reasoners and comparison, International Journal of Computer Applications, vol.57, issue.17, pp.33-39

M. Sherif, A. Y. Abuelenin, and . Abul-magd, Empirical study of traffic velocity distribution and its effect on vanets connectivity, 2015.

G. Agamennoni, I. Juan, E. M. Nieto, and . Nebot, Estimation of Multivehicle Dynamics by Considering Contextual Information, IEEE Transactions on Robotics, vol.28, issue.4, pp.855-870, 2012.
DOI : 10.1109/TRO.2012.2195829

M. Althoff, O. Stursberg, and M. Buss, Model-based probabilistic collision detection in autonomous driving. Intelligent Transportation Systems, IEEE Transactions on, vol.10, issue.2, pp.299-310, 2009.
DOI : 10.1109/tits.2009.2018966

URL : http://mediatum.ub.tum.de/doc/979690/document.pdf

A. Amditis, P. Lytrivis, and E. Portouli, Sensing and Actuation in Intelligent Vehicles, Handbook of Intelligent Vehicles, pp.31-60, 2012.
DOI : 10.1007/978-0-85729-085-4_3

S. Ammoun and F. Nashashibi, Real time trajectory prediction for collision risk estimation between vehicles, 2009 IEEE 5th International Conference on Intelligent Computer Communication and Processing, pp.417-422, 2009.
DOI : 10.1109/ICCP.2009.5284727

URL : https://hal.archives-ouvertes.fr/inria-00438624

J. George, A. Andersen, and . Enriquez, Aging and the detection of observer and moving object collisions, Psychology and aging, vol.21, issue.1, p.74, 2006.

S. Andrews, Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) Communications and Cooperative Driving, Handbook of Intelligent Vehicles, pp.1121-1144, 2012.
DOI : 10.1007/978-0-85729-085-4_46

S. Georges, . Aoude, R. Vishnu, . Desaraju, H. Lauren et al., Behavior classification algorithms at intersections and validation using naturalistic data, Intelligent Vehicles Symposium (IV), pp.601-606, 2011.

G. Salim and A. , Threat assessment for safe navigation in environments with uncertainty in predictability, 2011.

G. S. Aoude, V. R. Desaraju, L. H. Stephens, and J. P. How, Driver Behavior Classification at Intersections and Validation on Large Naturalistic Data Set, Proceedings of the IEEE Intelligent Transportation Systems Conference, pp.724-736, 2012.
DOI : 10.1109/TITS.2011.2179537

F. Baader, The description logic handbook: theory, implementation, and applications, 2003.
DOI : 10.1017/CBO9780511711787

T. Batz, K. Watson, and J. Beyerer, Recognition of dangerous situations within a cooperative group of vehicles, 2009 IEEE Intelligent Vehicles Symposium, pp.907-912, 2009.
DOI : 10.1109/IVS.2009.5164400

J. Donald, J. Berndt, and . Clifford, Using dynamic time warping to find patterns in time series, KDD workshop, pp.359-370, 1994.

H. Berndt, J. Emmert, and K. Dietmayer, Continuous Driver Intention Recognition with Hidden Markov Models, 2008 11th International IEEE Conference on Intelligent Transportation Systems, 2008.
DOI : 10.1109/ITSC.2008.4732630

M. Bertozzi, Image Processing for Vehicular Applications, Handbook of Intelligent Vehicles, pp.999-1009, 2012.
DOI : 10.1007/978-0-85729-085-4_38

M. Bertozzi, A. Broggi, A. Coati, and R. I. Fedriga, A 13.000 km intercontinental trip with driverless vehicles: the viac experiment, IEEE Intelligent Transportation Systems Magazine, 2013.

S. Bonnin, H. Thomas, F. Weisswange, J. Kummert, and . Schmuedderich, General Behavior Prediction by a Combination of Scenario-Specific Models, IEEE Transactions on Intelligent Transportation Systems, vol.15, issue.4, pp.1478-1488, 2014.
DOI : 10.1109/TITS.2014.2299340

A. Borowsky, D. Shinar, and T. Oron-gilad, Age, skill, and hazard perception in driving, Accident Analysis & Prevention, vol.42, issue.4, pp.1240-1249, 2010.
DOI : 10.1016/j.aap.2010.02.001

R. Bosch, Can specification version 2.0. Rober Bosch GmbH, 1991.

R. Bosch and U. Adler, Automotive handbook, Society of Automotive Engineers, 1996.

M. Essayed-bouzouraa and U. Hofmann, Fusion of occupancy grid mapping and model based object tracking for driver assistance systems using laser and radar sensors, Intelligent Vehicles Symposium (IV), pp.294-300, 2010.

R. Bradley, Tesla autopilot, the electric-vehicle maker sent its cars a software update that suddenly made autonomous driving a reality, MIT Technology Review, 2016.

M. Brand, N. Oliver, and A. Pentland, Coupled hidden Markov models for complex action recognition, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.994-999, 1997.
DOI : 10.1109/CVPR.1997.609450

M. Brannstrom, E. Coelingh, and J. Sjoberg, Model-based threat assessment for avoiding arbitrary vehicle collisions. Intelligent Transportation Systems, IEEE Transactions on, vol.11, issue.3, pp.658-669, 2010.
DOI : 10.1109/tits.2010.2048314

A. Broggi, P. Cerri, S. Debattisti, M. C. Laghi, P. Medici et al., PROUD-Public road urban driverless test: Architecture and results, 2014 IEEE Intelligent Vehicles Symposium Proceedings, pp.648-654, 2014.
DOI : 10.1109/IVS.2014.6856478

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.572.2683

M. Buehler, K. Iagnemma, and S. Singh, The DARPA urban challenge: autonomous vehicles in city traffic, 2009.
DOI : 10.1007/978-3-642-03991-1

C. Darpa-urban, Route network definition file (rndf) and mission data file(mdf) formats, 2007.

T. Christopher, Analysis of dynamic scenes: Application to driving assistance, 2009.
URL : https://hal.archives-ouvertes.fr/tel-00530679

D. David, P. Clarke, C. Ward, W. Bartle, and . Truman, Older drivers road traffic crashes in the uk, Accident Analysis & Prevention, vol.42, issue.4, pp.1018-1024, 2010.

D. David, P. Clarke, W. Ward, and . Truman, Voluntary risk taking and skill deficits in young driver accidents in the uk, Accident Analysis & Prevention, vol.37, issue.3, pp.523-529, 2005.

A. Cohen and L. Einav, The Effects of Mandatory Seat Belt Laws on Driving Behavior and Traffic Fatalities, Review of Economics and Statistics, vol.83, issue.2, pp.828-843, 2003.
DOI : 10.1111/j.1539-6924.1982.tb01384.x

C. Coué, C. Pradalier, C. Laugier, T. Fraichard, and P. Bessière, Bayesian Occupancy Filtering for Multitarget Tracking: An Automotive Application, The International Journal of Robotics Research, vol.99, issue.1, pp.19-30, 2006.
DOI : 10.1177/0278364906061158

A. Croitoru, P. Agouris, and A. Stefanidis, 3D trajectory matching by pose normalization, Proceedings of the 2005 international workshop on Geographic information systems , GIS '05, pp.153-162, 2005.
DOI : 10.1145/1097064.1097087

R. Eric, . Dahlen, C. Ryan, K. Martin, . Ragan et al., Driving anger, sensation seeking, impulsiveness, and boredom proneness in the prediction of unsafe driving, Accident Analysis & Prevention, vol.37, issue.2, pp.341-348, 2005.

M. Darms, M. Komar, and S. Lueke, Map based road boundary estimation, 2010 IEEE Intelligent Vehicles Symposium, pp.609-614, 2010.
DOI : 10.1109/IVS.2010.5548011

R. Gabriel, . De-campos, H. Adam, F. Runarsson, P. Granum et al., Collision avoidance at intersections: A probabilistic threat-assessment and decision-making system for safety interventions, Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on, pp.649-654, 2014.

M. David and . Dejoy, An examination of gender differences in traffic accident risk perception, Accident Analysis & Prevention, vol.24, issue.3, pp.237-246, 1992.

K. Dentler, R. Cornet, A. T. Teije, and N. D. Keizer, Comparison of reasoners for large ontologies in the owl 2 el profile, Semantic Web, pp.71-87, 2011.

Z. Ding and Y. Peng, A probabilistic extension to ontology language owl, System Sciences Proceedings of the 37th Annual Hawaii international conference on, p.10, 2004.

A. Doucet, On sequential simulation-based methods for bayesian filtering, 1998.

R. Elvik, T. Vaa, A. Erke, and M. Sorensen, The handbook of road safety measures, 2009.
DOI : 10.1108/9781848552517

E. Forsyth, B. Maycock, and . Sexton, Cohort study of learner and novice drivers: Part 3, accidents, offences and driving experience in the first three years of driving, 1995.

M. Garcia and O. , Prediction of driver behavior, 2014.

S. Geyer, M. Baltzer, B. Franz, S. Hakuli, M. Kauer et al., Concept and development of a unified ontology for generating test and use-case catalogues for assisted and automated vehicle guidance, IET Intelligent Transport Systems, vol.8, issue.3, pp.183-189, 2013.
DOI : 10.1049/iet-its.2012.0188

T. Gindele, S. Brechtel, and R. Dillmann, A probabilistic model for estimating driver behaviors and vehicle trajectories in traffic environments, 13th International IEEE Conference on Intelligent Transportation Systems, pp.1625-1631, 2010.
DOI : 10.1109/ITSC.2010.5625262

M. Green, "How Long Does It Take to Stop?" Methodological Analysis of Driver Perception-Brake Times, Transportation Human Factors, vol.18, issue.3, pp.195-216, 2000.
DOI : 10.1016/0001-4575(95)00070-4

D. Greene, J. Liu, J. Reich, Y. Hirokawa, A. Shinagawa et al., An efficient computational architecture for a collision earlywarning system for vehicles, pedestrians, and bicyclists. Intelligent Transportation Systems, IEEE Transactions on, vol.12, issue.4, pp.942-953, 2011.

P. Grisleri, Camera Technologies, Handbook of Intelligent Vehicles, pp.1011-1020, 2012.
DOI : 10.1007/978-0-85729-085-4_39

R. Thomas and . Gruber, A translation approach to portable ontology specifications. Knowledge acquisition, pp.199-220, 1993.

R. Thomas and . Gruber, Toward principles for the design of ontologies used for knowledge sharing? International journal of human-computer studies, pp.907-928, 1995.

T. Gruber and . Ontology, Encyclopedia of database systems, pp.1963-1965, 2009.

V. Haarslev and R. Möller, Racer: A core inference engine for the semantic web, EON, 2003.

M. Hahn, L. Krüger, and C. Wöhler, 3d action recognition and longterm prediction of human motion, Computer Vision Systems, pp.23-32, 2008.

M. Haklay and P. Weber, Openstreetmap: User-generated street maps. Pervasive Computing, IEEE, vol.7, issue.4, pp.12-18, 2008.
DOI : 10.1109/mprv.2008.80

R. Scott and H. , Comparisons and stability analysis of linearized equations of motion for a basic bicycle model, 1988.

J. Patrick and . Hayes, The second naive physics manifesto, 1985.

C. Hermes, C. Wohler, K. Schenk, and F. Kummert, Long-term vehicle motion prediction, 2009 IEEE Intelligent Vehicles Symposium, pp.652-657, 2009.
DOI : 10.1109/IVS.2009.5164354

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.9014

J. Hillenbrand, M. Andreas, K. Spieker, and . Kroschel, A multilevel collision mitigation approach -its situation assessment, decision making, and performance tradeoffs. Intelligent Transportation Systems, IEEE Transactions on, vol.7, issue.4, pp.528-540, 2006.
DOI : 10.1109/tits.2006.883115

F. Homm, N. Kaempchen, and D. Burschka, Fusion of laserscannner and video based lanemarking detection for robust lateral vehicle control and lane change maneuvers, 2011 IEEE Intelligent Vehicles Symposium (IV), pp.969-974, 2011.
DOI : 10.1109/IVS.2011.5940424

M. Horridge and S. Bechhofer, The owl api: A java api for owl ontologies, Semantic Web, pp.11-21, 2011.

M. Horridge, S. Jupp, G. Moulton, A. Rector, R. Stevens et al., A practical guide to building owl ontologies using protégé 4 and co-ode tools edition1. 2. The University of Manchester, 2009.

I. Horrocks, P. Patel-schneider, H. Boley, S. Tabet, M. Grosof et al., Swrl: A semantic web rule language combining owl and ruleml, W3C Member submission, vol.21, p.79, 2004.

I. Horrocks, The FaCT System, Automated Reasoning with Analytic Tableaux and Related Methods, pp.307-312, 1998.
DOI : 10.1007/3-540-69778-0_30

S. Mark, . Horswill, A. Nancy, J. Pachana, . Wood et al., A comparison of the hazard perception ability of matched groups of healthy drivers aged 35 to 55, 65 to 74, and 75 to 84 years, Journal of the International Neuropsychological Society, issue.05, pp.15799-802, 2009.

M. Hulsen, N. Jm-zollner, C. Haeberlen, and . Weiss, Asynchronous real-time framework for knowledge-based intersection assistance, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp.1680-1685, 2011.
DOI : 10.1109/ITSC.2011.6082810

M. Hulsen, N. Zollner, C. Haeberlen, and . Weiss, Asynchronous realtime framework for knowledge-based intersection assistance, Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on, pp.1680-1685, 2011.
DOI : 10.1109/itsc.2011.6082810

M. Hulsen, C. Zollner, and . Weiss, Traffic intersection situation description ontology for advanced driver assistance, 2011 IEEE Intelligent Vehicles Symposium (IV), 2011.
DOI : 10.1109/IVS.2011.5940415

B. Hummel, W. Thiemann, and I. Lulcheva, Scene understanding of urban road intersections with description logic

K. Iagnemma and M. Buehler, Editorial for Journal of Field Robotics???Special Issue on the DARPA Grand Challenge, Journal of Field Robotics, vol.23, issue.9, pp.655-656, 2006.
DOI : 10.1002/rob.20154

J. Ibañez-guzman and C. Laugier, Intelligent vehicles: Complex software-based systems . ERCIM New Special theme: Intelligent Cars, pp.19-20, 2013.

J. Ibañez-guzman, C. Laugier, J. Yoder, and S. Thrun, Autonomous Driving: Context and State-of-the-Art, Handbook of Intelligent Vehicles, pp.1271-1310, 2012.
DOI : 10.1007/978-0-85729-085-4_50

J. Ibanez-guzman, S. Lefevre, A. Mokkadem, and S. Rodhaim, Vehicle to vehicle communications applied to road intersection safety, field results, 13th International IEEE Conference on Intelligent Transportation Systems, p.192, 2010.
DOI : 10.1109/ITSC.2010.5625246

URL : https://hal.archives-ouvertes.fr/inria-00539228

A. Brian and . Jonah, Accident risk and risk-taking behaviour among young drivers, Accident Analysis & Prevention, vol.18, issue.4, pp.255-271, 1986.

J. M. Joseph, F. Doshi-velez, and N. Roy, A bayesian nonparametric approach to modeling mobility patterns, AAAI, 2010.

K. Kersting, C. Plagemann, P. Pfaff, and W. Burgard, Most likely heteroscedastic Gaussian process regression, Proceedings of the 24th international conference on Machine learning, ICML '07, p.7, 2007.
DOI : 10.1145/1273496.1273546

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.476.7182

J. Knaup and K. Homeier, RoadGraph - Graph based environmental modelling and function independent situation analysis for driver assistance systems, 13th International IEEE Conference on Intelligent Transportation Systems, pp.428-432, 2010.
DOI : 10.1109/ITSC.2010.5625016

R. Kohlhaas, T. Bittner, T. Schamm, and M. Zollner, Semantic state space for high-level maneuver planning in structured traffic scenes, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp.1060-1065, 2014.
DOI : 10.1109/ITSC.2014.6957828

M. Konrad, M. Szczot, and K. Dietmayer, Road course estimation in occupancy grids, 2010 IEEE Intelligent Vehicles Symposium, pp.412-417, 2010.
DOI : 10.1109/IVS.2010.5548041

P. Konstantopoulos, P. Chapman, and D. Crundall, Driver's visual attention as a function of driving experience and visibility. Using a driving simulator to explore drivers??? eye movements in day, night and rain driving, Accident Analysis & Prevention, vol.42, issue.3, pp.827-834, 2010.
DOI : 10.1016/j.aap.2009.09.022

D. Krajzewicz, Traffic Simulation with SUMO ??? Simulation of Urban Mobility, Fundamentals of Traffic Simulation, pp.269-293, 2010.
DOI : 10.1007/978-1-4419-6142-6_7

M. Kurdej, J. Moras, V. Cherfaoui, and P. Bonnifait, Map-aided evidential grids for driving scene understanding. Intelligent Transportation Systems Magazine, IEEE, vol.7, issue.1, pp.30-41, 2015.
DOI : 10.1109/mits.2014.2352371

URL : https://hal.archives-ouvertes.fr/hal-01112443

L. Lamard, R. Chapuis, and J. Boyer, Multi target tracking with cphd filter based on asynchronous sensors, Information Fusion (FUSION), 2013 16th International Conference on, pp.892-898, 2013.

A. Lawitzky, D. Althoff, C. F. Passenberg, G. Tanzmeister, D. Wollherr et al., Interactive scene prediction for automotive applications, 2013 IEEE Intelligent Vehicles Symposium (IV), pp.1028-1033, 2013.
DOI : 10.1109/IVS.2013.6629601

N. David and . Lee, A theory of visual control of braking based on information about timeto-collision, Perception, issue.5, pp.437-59, 1976.

S. Lefevre, C. Laugier, and J. Ibanez-guzman, Exploiting map information for driver intention estimation at road intersections, 2011 IEEE Intelligent Vehicles Symposium (IV), pp.583-588, 2011.
DOI : 10.1109/IVS.2011.5940452

URL : https://hal.archives-ouvertes.fr/inria-00588743

S. Lefevre, Risk estimation at road intersections for connected vehicle safety applications
URL : https://hal.archives-ouvertes.fr/tel-00858906

S. Lefèvre, D. Vasquez, and C. Laugier, A survey on motion prediction and risk assessment for intelligent vehicles, ROBOMECH Journal, vol.18, issue.10, pp.1-14, 2014.
DOI : 10.1186/s40648-014-0001-z

M. Liebner, C. Ruhhammer, F. Klanner, and C. Stiller, Generic driver intent inference based on parametric models, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), pp.268-275, 2013.
DOI : 10.1109/ITSC.2013.6728244

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.640.5005

A. Lindgren and F. Chen, State of the art analysis: An overview of advanced driver assistance systems (adas) and possible human factors issues, Human Factors and Economic Aspects on Safety, p.38, 2006.

L. Ma, Y. Yang, Z. Qiu, G. Xie, Y. Pan et al., Towards a Complete OWL Ontology Benchmark, 2006.
DOI : 10.1007/11762256_12

C. Maag, D. Muhlbacher, C. Mark, and H. Kruger, Studying effects of advanced driver assistance systems (adas) on individual and group level using multi-driver simulation . Intelligent Transportation Systems Magazine, pp.45-54, 2012.

J. Markoff, Google cars drive themselves, in traffic. The New York Times, 2010.

R. Matthaei, G. Bagschik, J. Rieken, and M. Maurer, Stationary urban environment modeling using multi-layer-grids, Information Fusion (FU- SION), 2014 17th International Conference on, pp.1-7, 2014.

L. Deborah, F. Mcguinness, and . Van-harmelen, Owl web ontology language overview, W3C recommendation, vol.10, issue.10, p.2004, 2004.

A. Mchutchon and C. E. Rasmussen, Gaussian process training with input noise, NIPS, 2011.

F. Mckenna, J. Crick, -. In, . Safety, . Proceedings et al., Experience and expertise in hazard perception, BEHAVI, pp.26-27, 1990.

D. Michael, C. Meyer, and . Systematics, American Automobile Association, et al. Crashes Vs. Congestion: What's the Cost to Society, American Automobile Association, 2008.

D. Meyer-delius, C. Plagemann, and W. Burgard, Probabilistic situation recognition for vehicular traffic scenarios, 2009 IEEE International Conference on Robotics and Automation, 2009.
DOI : 10.1109/ROBOT.2009.5152838

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.337.1030

R. Mizoguchi and M. Ikeda, Towards ontology engineering, Journal- Japanese Society for Artificial Intelligence, vol.13, pp.9-10, 1998.

A. Molinero-martinez, H. Evdorides, C. L. Naing, A. Kirk, J. Barrios et al., Accident causation and pre-accidental driving situations. part 2. in-depth accident causation analysis, 2008.

A. Molinero-martinez, H. Evdorides, C. L. Naing, A. Kirk, J. Barrios et al., Traceproject. accident causation and pre-accidental driving situations, 2008.

J. Lisa, . Molnar, W. David, and . Eby, The relationship between self-regulation and drivingrelated abilities in older drivers: an exploratory study, Traffic injury prevention, vol.9, issue.4, pp.314-319, 2008.

P. Hans, A. Moravec, and . Elfes, High resolution maps from wide angle sonar, Robotics and Automation. Proceedings. 1985 IEEE International Conference on, pp.116-121, 1985.

B. Motik, R. Shearer, and I. Horrocks, Optimized Reasoning in Description Logics Using Hypertableaux, Automated Deduction?CADE-21, pp.67-83, 2007.
DOI : 10.1007/978-3-540-73595-3_6

A. Naftel and S. Khalid, Classifying spatiotemporal object trajectories using unsupervised learning in the coefficient feature space, Multimedia Systems, vol.73, issue.2, pp.227-238, 2006.
DOI : 10.1007/s00530-006-0058-5

A. Nègre, L. Rummelhard, and C. Laugier, Hybrid sampling Bayesian Occupancy Filter, 2014 IEEE Intelligent Vehicles Symposium Proceedings, pp.1307-1312, 2014.
DOI : 10.1109/IVS.2014.6856554

J. Nilsson, D. Zachariah, and I. Skog, Global Navigation Satellite Systems: An Enabler for In-Vehicle Navigation, Handbook of Intelligent Vehicles, pp.311-342, 2012.
DOI : 10.1007/978-0-85729-085-4_13

D. Nuss, M. Stuebler, and K. Dietmayer, Consistent environmental modeling by use of occupancy grid maps, digital road maps, and multi-object tracking, 2014 IEEE Intelligent Vehicles Symposium Proceedings, pp.1371-1377, 2014.
DOI : 10.1109/IVS.2014.6856516

M. Obitko, Ontologies?description and applications, CZECH TECHNICAL UNIVERSITY, DEPARTMENT OF. Citeseer, 2001.

Y. Washington, . Ochieng, R. Quddus, and . Noland, Map-matching in complex urban road networks, Revista Brasileira de Cartografia, vol.2, issue.55, 2003.

E. Ohn-bar, A. Tawari, S. Martin, and M. Trivedi, Predicting driver maneuvers by learning holistic features, 2014 IEEE Intelligent Vehicles Symposium Proceedings, pp.719-724, 2014.
DOI : 10.1109/IVS.2014.6856612

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.649.7007

N. Oliver and A. P. Pentland, Graphical models for driver behavior recognition in a SmartCar, Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511), pp.7-12, 2000.
DOI : 10.1109/IVS.2000.898310

T. Özkan, T. Lajunen, J. E. Chliaoutakis, D. Parker, and H. Summala, Cross-cultural differences in driving behaviours: A comparison of six countries . Transportation research part F: traffic psychology and behaviour, pp.227-242, 2006.

P. Papadimitratos, L. Fortelle, K. Evenssen, R. Brignolo, and S. Cosenza, Vehicular communication systems: Enabling technologies, applications, and future outlook on intelligent transportation, IEEE Communications Magazine, vol.47, issue.11, pp.4784-95, 2009.
DOI : 10.1109/MCOM.2009.5307471

URL : http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-35548

D. Petrich, T. Dang, D. Kasper, G. Breuel, and C. Stiller, Map-based long term motion prediction for vehicles in traffic environments, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), pp.6-9, 2013.
DOI : 10.1109/ITSC.2013.6728549

M. Platho and J. Eggert, Deciding what to inspect first: Incremental situation assessment based on information gain, 2012 15th International IEEE Conference on Intelligent Transportation Systems, pp.888-893, 2012.
DOI : 10.1109/ITSC.2012.6338670

M. Platho, H. Gros, and J. Eggert, Predicting Velocity Profiles of Road Users at Intersections Using Configurations, 2013 IEEE Intelligent Vehicles Symposium (IV), pp.945-951, 2013.
DOI : 10.1109/IVS.2013.6629588

E. Pollard, P. Morignot, and F. Nashashibi, An ontology-based model to determine the automation level of an automated vehicle for co-driving, Information Fusion (FUSION), 2013 16th International Conference on, pp.596-603, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00838680

I. Subproject and P. Project, Sp delivrable d40.4 -requirements for intersection safety applications, 2005.

S. Project, https://project.inria.fr/scoref

S. Project, Final report, part c. best practices in road safety. handbook for measures at the country level, 2007.

A. Mohammed, . Quddus, R. Nagendra, and . Velaga, Enhancing vehicle positioning data through map-matching, Handbook of Intelligent Vehicles, pp.343-364, 2012.

C. E. Rasmussen and C. Williams, Gaussian Processes in Machine Learning, 2006.
DOI : 10.1162/089976602317250933

R. Regele, Using Ontology-Based Traffic Models for More Efficient Decision Making of Autonomous Vehicles, Fourth International Conference on Autonomic and Autonomous Systems (ICAS'08), pp.94-99, 2008.
DOI : 10.1109/ICAS.2008.10

A. Richard, . Retting, N. Bhagwant, . Persaud, E. Per et al., Crash and injury reduction following installation of roundabouts in the united states, American Journal of Public Health, vol.91, issue.4, p.628, 2001.

R. Riccardo and G. Massimiliano, An Empirical Analysis of Vehicle Time Headways on Rural Two-lane Two-way Roads, Procedia - Social and Behavioral Sciences, vol.54, pp.865-874, 2012.
DOI : 10.1016/j.sbspro.2012.09.802

L. Rummelhard, A. Nègre, and C. Laugier, Conditional Monte Carlo Dense Occupancy Tracker, 2015 IEEE 18th International Conference on Intelligent Transportation Systems, pp.2485-2490, 2015.
DOI : 10.1109/ITSC.2015.400

URL : https://hal.archives-ouvertes.fr/hal-01205298

F. Sagberg and T. Bjørnskau, Hazard perception and driving experience among novice drivers, Accident Analysis & Prevention, vol.38, issue.2, pp.407-414, 2006.
DOI : 10.1016/j.aap.2005.10.014

J. Salas, H. Jiménez, J. González, and J. Hurtado, Detecting Unusual Activities at Vehicular Intersections, Proceedings 2007 IEEE International Conference on Robotics and Automation, pp.864-869, 2007.
DOI : 10.1109/ROBOT.2007.363094

A. Salovaara and A. Oulasvirta, Six modes of proactive resource management, Proceedings of the third Nordic conference on Human-computer interaction , NordiCHI '04, pp.57-60, 2004.
DOI : 10.1145/1028014.1028022

T. Schamm and J. Zollner, A model-based approach to probabilistic situation assessment for driver assistance systems, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp.1404-1409, 2011.
DOI : 10.1109/ITSC.2011.6082930

M. Schneider and W. Ertel, Robot Learning by Demonstration with local Gaussian process regression, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.255-260, 2010.
DOI : 10.1109/IROS.2010.5650949

R. Schubert, E. Richter, and G. Wanielik, Comparison and evaluation of advanced motion models for vehicle tracking, Information Fusion 11th International Conference on, pp.1-6, 2008.

C. David, J. Schwebel, . Severson, K. Karlene, M. Ball et al., Individual difference factors in risky driving: The roles of anger/hostility, conscientiousness, and sensation-seeking, Accident Analysis & Prevention, vol.38, issue.4, pp.801-810, 2006.

L. Serafini and A. Tamilin, Local tableaux for reasoning in distributed description logics, Proc. of the International Workshop on Description Logics, DL, pp.100-109, 2004.

S. Shanmugaratnam, J. Steven, . Kass, E. James, and . Arruda, Age differences in cognitive and psychomotor abilities and simulated driving, Accident Analysis & Prevention, vol.42, issue.3, pp.802-808, 2010.
DOI : 10.1016/j.aap.2009.10.002

R. Shearer, B. Motik, and I. Horrocks, Hermit: A highly-efficient owl reasoner, OWLED, 2008.

M. Richard, W. Shiffrin, and . Schneider, Controlled and automatic human information processing: Ii. perceptual learning, automatic attending and a general theory, Psychological review, vol.84, issue.2, p.127, 1977.

D. Shinar, N. Tractinsky, and R. Compton, Effects of practice, age, and task demands, on interference from a phone task while driving, Accident Analysis & Prevention, vol.37, issue.2, pp.315-326, 2005.
DOI : 10.1016/j.aap.2004.09.007

O. Sigaud, C. Salaun, and V. Padois, On-line regression algorithms for learning mechanical models of robots: A survey, Robotics and Autonomous Systems, vol.59, issue.12, pp.1115-1129, 2011.
DOI : 10.1016/j.robot.2011.07.006

URL : https://hal.archives-ouvertes.fr/hal-00629133

E. Sirin, B. Parsia, B. C. Grau, A. Kalyanpur, and Y. Katz, Pellet: A practical owl-dl reasoner. Web Semantics: science, services and agents on the World Wide Web, pp.51-53, 2007.
DOI : 10.1016/j.websem.2007.03.004

M. Raymond and . Smullyan, First-order logic. Courier Corporation, 1995.

P. St-aubin, N. Saunier, and L. , Comparison of various time-to-collision prediction and aggregation methods for surrogate safety analysis, Transportation Research Board 94th Annual Meeting, pp.15-4629, 2015.

C. Thorpe, H. Martial, T. Hebert, . Kanade, A. Steven et al., Vision and navigation for the carnegie-mellon navlab. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.10, issue.3, pp.362-373, 1988.
DOI : 10.1109/34.3900

S. Thrun, Learning occupancy grid maps with forward sensor models, Autonomous Robots, vol.15, issue.2, pp.111-127, 2003.
DOI : 10.1023/A:1025584807625

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.6014

S. Thrun, W. Burgard, and D. Fox, Probabilistic robotics, Communications of the ACM, vol.45, issue.3, 2005.
DOI : 10.1145/504729.504754

G. Trehard, E. Pollard, B. Bradai, and F. Nashashibi, Tracking both pose and status of a traffic light via an interacting multiple model filter, Information Fusion (FUSION), 2014 17th International Conference on, pp.1-7, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01024096

M. Treiber, A. Hennecke, and D. Helbing, Congested traffic states in empirical observations and microscopic simulations, Physical Review E, vol.62, issue.2, p.1805, 2000.
DOI : 10.1103/PhysRevE.62.1805

M. Trivedi, T. Gandhi, and J. Mccall, Looking-in and looking-out of a vehicle: Computer-vision-based enhanced vehicle safety. Intelligent Transportation Systems, IEEE Transactions on, vol.8, issue.1, pp.108-120, 2007.

S. Vacek, T. Gindele, R. Zollner, and . Dillmann, Situation classification for cognitive automobiles using case-based reasoning, 2007 IEEE Intelligent Vehicles Symposium, pp.704-709, 2007.
DOI : 10.1109/IVS.2007.4290199

J. Van-den-berg, M. Lin, and D. Manocha, Reciprocal Velocity Obstacles for real-time multi-agent navigation, 2008 IEEE International Conference on Robotics and Automation, pp.1928-1935, 2008.
DOI : 10.1109/ROBOT.2008.4543489

K. Paul, . Verhaegen, L. Katrien, . Toebat, L. Luc et al., Safety of older drivers: A study of their over-involvement ratio, Proceedings of the Human Factors and Ergonomics Society Annual Meeting, pp.185-188, 1988.

M. Vlachos, G. Kollios, and D. Gunopulos, Elastic Translation Invariant Matching of Trajectories, Machine Learning, pp.301-334, 2005.
DOI : 10.1007/s10994-005-5830-9

T. Vu, O. Aycard, and N. Appenrodt, Online Localization and Mapping with Moving Object Tracking in Dynamic Outdoor Environments, 2007 IEEE Intelligent Vehicles Symposium, pp.190-195, 2007.
DOI : 10.1109/IVS.2007.4290113

URL : https://hal.archives-ouvertes.fr/inria-00194152

C. Wang, C. Thorpe, S. Thrun, M. Hebert, and H. Durrant-whyte, Simultaneous Localization, Mapping and Moving Object Tracking, The International Journal of Robotics Research, vol.26, issue.9, pp.889-916, 2007.
DOI : 10.1177/0278364907081229

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.457.7969

J. Wang, K. Dixon, H. Li, and J. Ogle, Normal deceleration behaviour of passenger vehicles starting from rest at all way stop controlled intersections, Transportation Research Record, pp.158-166, 2005.

P. Website, https://developers.google.com/protocol-buffers

G. Weidl, G. Breuel, and V. Singhal, Collision risk prediction and warning at road intersections using an object oriented Bayesian network, Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI '13, pp.270-277, 2013.
DOI : 10.1145/2516540.2516577

T. Weiss, B. Schiele, and K. Dietmayer, Robust Driving Path Detection in Urban and Highway Scenarios Using a Laser Scanner and Online Occupancy Grids, 2007 IEEE Intelligent Vehicles Symposium, pp.184-189, 2007.
DOI : 10.1109/IVS.2007.4290112

J. Wiest, U. Hoffken, K. Kresel, and . Dietmayer, Probabilistic trajectory prediction with Gaussian mixture models, 2012 IEEE Intelligent Vehicles Symposium, pp.141-146, 2012.
DOI : 10.1109/IVS.2012.6232277

J. Xiao, Multi-volume occupancy grids: An efficient probabilistic 3d mapping model for micro aerial vehicles, IEEERSJ International Conference on Intelligent Robots and Systems, pp.1553-1559, 2010.

J. Xiao, R. Catrambone, and J. Stasko, Be quiet? evaluating proactive and reactive user interface assistants, Proceedings of INTERACT, pp.383-390, 2003.

Y. Yang and J. Calmet, OntoBayes: An Ontology-Driven Uncertainty Model, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06), pp.457-463, 2005.
DOI : 10.1109/CIMCA.2005.1631307

P. Zarchan and H. Musoff, Progress In Astronautics and Aeronautics: Fundamentals of Kalman Filtering: A Practical Approach, Aiaa, 2005.

L. Zhao, R. Ichise, S. Mita, and Y. Sasaki, An Ontology-Based Intelligent Speed Adaptation System for Autonomous Cars, Semantic Technology, pp.397-413, 2014.
DOI : 10.1007/978-3-319-15615-6_30

J. Ziegler, P. Bender, M. Schreiber, H. Lategahn, T. Strauss et al., Making bertha drive? an autonomous journey on a historic route. Intelligent Transportation Systems Magazine, pp.8-20, 2014.
DOI : 10.1109/mits.2014.2306552

C. Zinoune, Autonomous Integrity Monitoring of Navigation Maps on board Intelligent Vehicles, 2014.
URL : https://hal.archives-ouvertes.fr/tel-01092628