Extraction and analysis of microscopic traffic data in disordered heterogeneous traffic conditions

References

• Aghabayk, K., M. Sarvi, and W. Young. January 2015. “A State-Of-the-art Review of Car-following Models with Particular Considerations of Heavy Vehicles.” Transport Reviews 35 (1): 82–105.
   Web of Science ®Google Scholar
• Ahmed, K. I. 1999. “Modeling Drivers’ Acceleration and Lane Changing Behavior.” Unpublished doctoral dissertation. Massachusetts Institute of Technology, USA.
   Google Scholar
• Amini, E., M. Tabibi, E. R. Khansari, and M. Abhari. 2018. “A Vehicle Type-based Approach to Model Car following Behaviors in Simulation Programs (Case Study: Car-motorcycle following Behavior).” In IATSS Research43 (1): 14-20.doi:10.1016/j.iatssr.2018.05.004.
   Google Scholar
• Antonov, L., and S. Stoyanov. April 1996. “Step by Step Filter — An Approach for Noise Reduction in the Derivative UV-visible Spectra.” Analytica Chimica Acta 324 (1): 77–83. doi:10.1016/0003-2670(96)00003-7.
   Web of Science ®Google Scholar
• Asaithambi, G., and J. Joseph. September 2018. “Modeling Duration of Lateral Shifts in Mixed Traffic Conditions.” Journal of Transportation Engineering, Part A: Systems 144 (9): 04018055.
   Web of Science ®Google Scholar
• Asaithambi, G., V. Kanagaraj, K. K. Srinivasan, and R. Sivanandan. January 2012. “Characteristics of Mixed Traffic on Urban Arterials with Significant Volumes of Motorized Two-wheelers.” Transportation Research Record: Journal of the Transportation Research Board 2317 (1): 51–59. doi:10.3141/2317-07.
   Google Scholar
• Asaithambi, G., V. Kanagaraj, and T. Toledo. August 2016. “Driving Behaviors: Models and Challenges for Non-lane Based Mixed Traffic.” Transportation in Developing Economies 2: 2.
   Web of Science ®Google Scholar
• Autoscope. 2017. “Econolite Control Products, Autoscope Vision.” Brochure. Accessed July 2018. www.econolite.com/wp-content/uploads/sites/9/2017/06/detection-vision-datasheet.pdf
   Google Scholar
• Badhrudeen, M., H. Thomas, L. D. Vanajakshi, and A. Sharma 2017. “Platoon Dispersion Analysis Based on Diffusion Theory.” In 6th International Conference on Transportation and Traffic Engineering (ICTTE 2017) 124, 01003. Hong Kong.
   Google Scholar
• Badhrudeen, M., L. Vanajakshi, S. C. Subramanian, A. Sharma, and H. Thomas. August 2018. “Recurrence Theory–Based Platoon Analysis under Indian Traffic Conditions.” Journal of Transportation Engineering, Part A: Systems 144 (8): 04018040.
   Web of Science ®Google Scholar
• Barmpounakis, E. N., E. I. Vlahogianni, and J. C. Golias. March 2018. “Identifying Predictable Patterns in the Unconventional Overtaking Decisions of PTW for Cooperative ITS.” IEEE Transactions on Intelligent Vehicles 3 (1): 102–111. doi:10.1109/TIV.2017.2788195.
   Google Scholar
• Barmpounakis, E. N., E. I. Vlahogianni, J. C. Golias, and A. Babinec. July 2017. “How Accurate are Small Drones for Measuring Microscopic Traffic Parameters?” Transportation Letters, 11 (6): 332-340. doi:10.1080/19427867.2017.1354433.–.
   Web of Science ®Google Scholar
• Bharadwaj, N., P. Kumar, S. Arkatkar, A. Maurya, and G. Joshi. 2016. “Traffic Data Analysis Using Image Processing Technique on Delhi-gurgaon Expressway.” Current Science (00113891) 110: 5.
   Web of Science ®Google Scholar
• Bolme, D., J. R. Beveridge, B. A. Draper, and Y. M. Lui June 2010. “Visual Object Tracking Using Adaptive Correlation Filters.” In 2010 IEEE computer society conference on computer vision and pattern recognition. IEEE. San Francisco, California, United States of America.
   Google Scholar
• Brackstone, M., and M. McDonald. December 1999. “Car-following: A Historical Review.” Transportation Research Part F: Traffic Psychology and Behaviour 2 (4): 181–196. doi:10.1016/S1369-8478(00)00005-X.
   Google Scholar
• Budhkar, A. K., and A. K. Maurya. May 2017. “Characteristics of Lateral Vehicular Interactions in Heterogeneous Traffic with Weak Lane Discipline.” Journal of Modern Transportation 25 (2): 74–89. doi:10.1007/s40534-017-0130-1.
   Web of Science ®Google Scholar
• Calabrese, F., M. Diao, G. D. Lorenzo, J. Ferreira, and C. Ratti. January 2013. “Understanding Individual Mobility Patterns from Urban Sensing Data: A Mobile Phone Trace Example.” Transportation Research Part C: Emerging Technologies 26: 301–313.
   Web of Science ®Google Scholar
• Charly, A., and T. V. Mathew. 2019. “Evaluation of Driving Performance in Relation to Safety on an Expressway Using Field Driving Data.” In Transportation Letters, 1–9.doi: 10.1080/19427867.2019.1591075.
   Google Scholar
• Chatziioanou, A., S. L. Hockaday, S. Kaighn, and L. Ponce July 1995. “Video Image Processing Systems: Applications in Transportation.” In Pacific Rim TransTech conference. 1995 vehicle navigation and information systems conference proceedings. 6th international VNIS. a ride into the future, 17–20. Seattle, WA, USA: IEEE.
   Google Scholar
• Cho, H.-J., and Y.-T. Wu 2004. “Modeling and Simulation of Motorcycle Traffic Flow.” In Systems, man and cybernetics, 2004 ieee international conference on (Vol. 7, p. 6262–6267).The Hague, Netherlands. October 10-13.
   Google Scholar
• Coifman, B., D. Beymer, P. McLauchlan, and J. Malik. August 1998. “A Real-time Computer Vision System for Vehicle Tracking and Traffic Surveillance.” Transportation Research Part C: Emerging Technologies 6 (4): 271–288. doi:10.1016/S0968-090X(98)00019-9.
   Web of Science ®Google Scholar
• Conover, W. J., M. E. Johnson, and M. M. Johnson. November 1981. “A Comparative Study of Tests for Homogeneity of Variances, with Applications to the Outer Continental Shelf Bidding Data.” Technometrics 23 (4): 351–361. doi:10.1080/00401706.1981.10487680.
   Web of Science ®Google Scholar
• Core Team, R. 2013. “R: A Language and Environment for Statistical Computing.” Computer software manual. Vienna, Austria. ( ISBN 3-900051-07-0). http://www.R-project.org/
   Google Scholar
• Danelljan, M., G. Häger, F. S. Khan, and M. Felsberg 2014. “Accurate Scale Estimation for Robust Visual Tracking.” In Proceedings of the british machine vision conference 2014. British Machine Vision Association. United Kingdom.
   Google Scholar
• Das, S., and A. K. Maurya. February 2018. “Multivariate Analysis of Microscopic Traffic Variables Using Copulas in Staggered Car-following Conditions.” Transportmetrica A: Transport Science 14 (10): 829–854. doi:10.1080/23249935.2018.1441200.
   Web of Science ®Google Scholar
• Devernay, F., and O. Faugeras. August 2001. “Straight Lines Have to Be Straight.” Machine Vision and Applications 13 (1): 14–24. doi:10.1007/PL00013269.
   Web of Science ®Google Scholar
• Duane, B. 1971. “Close-range Camera Calibration.” Photogrammetric Engineering 37 (8): 855–866.
   Google Scholar
• Elefteriadou, L. 2014. An Introduction to Traffic Flow Theory. New York: Springer.
   Google Scholar
• Farah, H., S. Bekhor, A. Polus, and T. Toledo. September 2009. “A Passing Gap Acceptance Model for Two-lane Rural Highways.” Transportmetrica 5 (3): 159–172. doi:10.1080/18128600902721899.
   Web of Science ®Google Scholar
• Fligner, M. A., and T. J. Killeen. March 1976. “Distribution-free Two-sample Tests for Scale.” Journal of the American Statistical Association 71 (353): 210–213.
   Web of Science ®Google Scholar
• Fulari, S. 2015. “Traffic state estimation under uncertain sensor data.” Unpublished master’s thesis. Indian Institute of Technology, Madras.
   Google Scholar
• Gipps, P. April 1981. “A Behavioural Car-following Model for Computer Simulation.” Transportation Research Part B: Methodological 15 (2): 105–111.
   Web of Science ®Google Scholar
• Gipps, P. October 1986. “A Model for the Structure of Lane-changing Decisions.” Transportation Research Part B: Methodological 20 (5): 403–414.
   Web of Science ®Google Scholar
• Gunay, B. August 2007. “Car following Theory with Lateral Discomfort.” Transportation Research Part B: Methodological 41 (7): 722–735.
   Web of Science ®Google Scholar
• Gupte, S., O. Masoud, R. Martin, and N. Papanikolopoulos. March 2002. “Detection and Classification of Vehicles.” IEEE Transactions on Intelligent Transportation Systems 3 (1): 37–47.
   Web of Science ®Google Scholar
• Gurusinghe, G., T. Nakatsuji, Y. Azuta, P. Ranjitkar, and Y. Tanaboriboon. 2002. “Multiple Car-following Data with Real-time Kinematic Global Positioning System.” Transportation Research Record: Journal of the Transportation Research Board, 1802 (1): 166–180.
   Web of Science ®Google Scholar
• Hartley, R. 1995. “In Defence of the 8-point Algorithm.” In Proceedings of IEEE international conference on computer vision. IEEE Comput. Soc. Press.Cambridge, Massachusetts, United states of America. June 20-23
   Google Scholar
• Hartley, R., and A. Zisserman. 2003. Multiple View Geometry in Computer Vision. Second ed. UK: Cambridge University Press.
   Google Scholar
• Haswell, S. J. 1992. Practical Guide to Chemometrics. Vol. 1090. ( S. J. Haswell, Ed). Newyork, USA: Marcel Dekker.
   Google Scholar
• Hintze, J. L., and R. D. Nelson. May 1998. “Violin Plots: A Box Plot-density Trace Synergism.” The American Statistician 52 (2): 181–184.
   Web of Science ®Google Scholar
• Hockaday, S. 1991. “Evaluation of Image Processing Technology for Applications in Highway Operations.” Final Technical Report No. 91-2. San Luis Obispo, California: Department of Transportation. California Polytechnic State University.
   Google Scholar
• Isler, R. B., B. S. Parsonson, and G. J. Hansson. November 1997. “Age Related Effects of Restricted Head Movements on the Useful Field of View of Drivers.” Accident Analysis & Prevention 29 (6): 793–801.
   PubMed Web of Science ®Google Scholar
• Jin, S., D. Hai Wang, C. Xu, and Z. Yi Huang. January 2012. “Staggered Car-following Induced by Lateral Separation Effects in Traffic Flow.” Physics Letters A 376 (3): 153–157.
   Web of Science ®Google Scholar
• Kanagaraj, V., G. Asaithambi, T. Toledo, and T.-C. Lee. October 2015. “Trajectory Data and Flow Characteristics of Mixed Traffic.” Transportation Research Record: Journal of the Transportation Research Board 2491: 1–11. doi:10.3141/2491-01.
   Web of Science ®Google Scholar
• Kanhere, N. 2008. “Vision-based Detection, Tracking and Classification of Vehicles Using Stable Features with Automatic Camera Calibration.” Unpublished doctoral dissertation. Clemson University, USA.
   Google Scholar
• Klein, L. A., and M. Kelley 1996. “Detection Technology for IVHS Volume (Ii): Final Report Addendum.” Tech. Rep.. U.S. Department of Transportation Federal Highway Administration.
   Google Scholar
• KritiKal Solutions. 2019. “TRAZER® SuiteTF.” Brochure. Accessed June 2019. http://its.kritikalsolutions.com/administrator/components/com_product/uploads/brouchers/1449050454Trazer_TF_SV-KSPL.pdf
   Google Scholar
• Lan, C.-L., and G.-L. Chang. October 2015. “Empirical Study of Scooter–Vehicle Mixed Traffic Propagation on Urban Arterials.” Transportation Research Record: Journal of the Transportation Research Board 2491: 32–42. doi:10.3141/2491-04.
   Web of Science ®Google Scholar
• Lan, C.-L., and G.-L. Chang. November 2016. “Optimizing Signals for Arterials Experiencing Heavy Mixed Scooter-vehicle Flows.” Transportation Research Part C: Emerging Technologies 72: 182–201. doi:10.1016/j.trc.2016.09.011.
   Web of Science ®Google Scholar
• Laval, J. A., and C. F. Daganzo. March 2006. “Lane-changing in Traffic Streams.” Transportation Research Part B: Methodological 40 (3): 251–264.
   Web of Science ®Google Scholar
• Lee, T. C. 2007. “An Agent-based Model to Simulate Motorcycle Behavior in Mixed Traffic Flow.” Unpublished doctoral dissertation. Imperial College London, United Kingdom.
   Google Scholar
• Lee, T.-C., J. W. Polak, M. G. Bell, and M. R. Wigan. November 2012. “The Kinematic Features of Motorcycles in Congested Urban Networks.” Accident Analysis & Prevention 49: 203–211. doi:10.1016/j.aap.2011.04.002.
   PubMed Web of Science ®Google Scholar
• Lee, T.-C., J. W. Polak, and M. G. H. Bell. January 2009. “New Approach to Modeling Mixed Traffic Containing Motorcycles in Urban Areas.” Transportation Research Record: Journal of the Transportation Research Board 2140 (1): 195–205. doi:10.3141/2140-22.
   Web of Science ®Google Scholar
• Levene, H. 1960. “Robust Tests for Equality of Variances.” In Contributions to Probability and Statistics. Essays in Honor of Harold Hotelling, 279–292. Stanford University Press. Stanford, California, United States of America.
   Google Scholar
• Li, Y., and D. Sun. April 2012. “Microscopic Car-following Model for the Traffic Flow: The State of the Art.” Journal of Control Theory and Applications 10 (2): 133–143. doi:10.1007/s11768-012-9221-z.
   Google Scholar
• Li, Y., L. Zhang, S. Peeta, H. Pan, T. Zheng, Y. Li, and X. He. December 2014. “Non-lane-discipline-based Car-following Model considering the Effects of Two-sided Lateral Gaps.” Nonlinear Dynamics 80 (1–2): 227–238. doi:10.1007/s11071-014-1863-6.
   Web of Science ®Google Scholar
• Liu, C. C., S. G. Hosking, and M. G. Lenné. July 2009. “Hazard Perception Abilities of Experienced and Novice Motorcyclists: An Interactive Simulator Experiment.” Transportation Research Part F: Traffic Psychology and Behaviour 12 (4): 325–334. doi:10.1016/j.trf.2009.04.003.
   Web of Science ®Google Scholar
• Mallikarjuna, C., A. Phanindra, and K. R. Rao. April 2009. “Traffic Data Collection under Mixed Traffic Conditions Using Video Image Processing.” Journal of Transportation Engineering 135 (4): 174–182. doi:10.1061/(ASCE)0733-947X(2009)135:4(174).
   Web of Science ®Google Scholar
• Mathew, J., H. Thomas, A. Sharma, L. Devi, and L. Rilett. December 2013. “Studying Platoon Dispersion Characteristics under Heterogeneous Traffic in India.” Procedia - Social and Behavioral Sciences 104: 422–429. doi:10.1016/j.sbspro.2013.11.135.
   Google Scholar
• Mathew, T. V., and P. Radhakrishnan. March 2010. “Calibration of Microsimulation Models for Nonlane- Based Heterogeneous Traffic at Signalized Intersections.” Journal of Urban Planning and Development 136 (1): 59–66. doi:10.1061/(ASCE)0733-9488(2010)136:1(59).
   Web of Science ®Google Scholar
• Minh, C. C., K. Sano, and S. Matsumoto. September 2010. “Maneuvers of Motorcycles in Queues at Signalized Intersections.” Journal of Advanced Transportation 46 (1): 39–53. doi:10.1002/atr.144.
   Web of Science ®Google Scholar
• Montanino, M., and V. Punzo. January 2013. “Making NGSIM Data Usable for Studies on Traffic Flow Theory.” Transportation Research Record: Journal of the Transportation Research Board 2390 (1): 99–111. doi:10.3141/2390-11.
   Google Scholar
• Munigety, C. R. August 2018a. “Modelling Behavioural Interactions of Drivers’ in Mixed Traffic Conditions.” Journal of Traffic and Transportation Engineering (English Edition) 5 (4): 284–295. doi:10.1016/j.jtte.2017.12.002.
   Google Scholar
• Munigety, C. R. April 2018b. “A Spring-mass-damper System Dynamics-based Driver-vehicle Integrated Model for Representing Heterogeneous Traffic.” International Journal of Modern Physics B 32 (11): 1850135. doi:10.1142/S0217979218501357.
   Web of Science ®Google Scholar
• Munigety, C. R., V. Vicraman, and T. V. Mathew. January 2014. “Semiautomated Tool for Extraction of Microlevel Traffic Data from Videographic Survey.” Transportation Research Record: Journal of the Transportation Research Board 2443 (1): 88–95. doi:10.3141/2443-10.
   Google Scholar
• Newell, G. March 2002. “A Simplified Car-following Theory: A Lower Order Model.” Transportation Research Part B: Methodological 36 (3): 195–205. doi:10.1016/S0191-2615(00)00044-8.
   Web of Science ®Google Scholar
• Nguyen, L. X., S. Hanaoka, and T. Kawasaki. January 2012. “Describing Non–Lane-based Motorcycle Movements in Motorcycle-only Traffic Flow.” Transportation Research Record: Journal of the Transportation Research Board 2281 (1): 76–82. doi:10.3141/2281-10.
   Web of Science ®Google Scholar
• Nihan, N. L., M. Leth, and A. Wong November 1995. “Video Image Processing for Freeway Monitoring and Control: Evaluation of the Mobilizer.” Final Technical Report No. WA-RD 398.1/TNW 95-03. Washington State Department of Transportation. http://www.wsdot.wa.gov/research/reports/fullreports/398.1.pdf
   Google Scholar
• The opencv reference manual (2.4.9.0 ed.). April 2014. [Computer software manual].
   Google Scholar
• Owsley, C., and G. McGwin. November 2010. “Vision and Driving.” Vision Research 50 (23): 2348–2361. doi:10.1016/j.visres.2010.05.021.
   PubMed Web of Science ®Google Scholar
• Pal, D., and M. Chunchu. June 2018. “Smoothing of Vehicular Trajectories under Heterogeneous Traffic Conditions to Extract Microscopic Data.” Canadian Journal of Civil Engineering 45 (6): 435–445. doi:10.1139/cjce-2017-0452.
   Web of Science ®Google Scholar
• Patil, G. R., and J. P. Sangole. July 2016. “Behavior of Two-wheelers at Limited Priority Uncontrolled T-intersections.” IATSS Research 40 (1): 7–18. doi:10.1016/j.iatssr.2015.12.002.
   Web of Science ®Google Scholar
• PEEK-VideoTrak. 2017. “VideoTrak XCam™.”Brochure. Accessed June, 2017. www.peektraffic.com/datasheets/VideoTrak%20XCam.pdf
   Google Scholar
• Pollatschek, M. A., A. Polus, and M. Livneh. August 2002. “A Decision Model for Gap Acceptance and Capacity at Intersections.” Transportation Research Part B: Methodological 36 (7): 649–663. doi:10.1016/S0191-2615(01)00024-8.
   Web of Science ®Google Scholar
• Punzo, V., and F. Simonelli. January 2005. “Analysis and Comparison of Microscopic Traffic Flow Models with Real Traffic Microscopic Data.” Transportation Research Record: Journal of the Transportation Research Board 1934 (1): 53–63.
   Google Scholar
• Raju, N., P. Kumar, S. Arkatkar, and G. Joshi. 2019. “Determining Risk-based Safety Thresholds through Naturalistic Driving Patterns Using Trajectory Data on Intercity Expressways.” In Safety Science. doi:10.1016/j.ssci.2019.01.017.
   Google Scholar
• Sangole, J. P., and G. R. Patil. August 2014. “Adaptive Neuro-fuzzy Interface System for Gap Acceptance Behavior of Right-turning Vehicles at Partially Controlled T-intersections.” Journal of Modern Transportation 22 (4): 235–243.
   Google Scholar
• Sayer, J. R., M. L. Mefford, and R. W. Huang 2005. “The Effects of Lead-vehicle Size on Driver following Behavior: Is Ignorance Truly Bliss?” In Proceedings of the 2nd international driving symposium on human factors in driver assessment, training and vehicle design: Driving assessment 2003. University of Iowa.Park City,Utah, United States of America. July 21–24.
   Google Scholar
• Thagard, P. 2012. The Cognitive Science of Science: Explanation, Discovery, and Conceptual Change. ( M. Press, Ed.). MIT Press. Cambridge, Massachusetts, United States of America.
   Google Scholar
• Toledo, T., H. N. Koutsopoulos, and K. I. Ahmed. January 2007. “Estimation of Vehicle Trajectories with Locally Weighted Regression.” Transportation Research Record: Journal of the Transportation Research Board 1999 (1): 161–169. doi:10.3141/1999-17.
   Web of Science ®Google Scholar
• Toledo, T., H. N. Koutsopoulos, and M. Ben-Akiva. April 2007. “Integrated Driving Behavior Modeling.” Transportation Research Part C: Emerging Technologies 15 (2): 96–112. doi:10.1016/j.trc.2007.02.002.
   Web of Science ®Google Scholar
• Toledo, T., H. N. Koutsopoulos, and M. E. Ben-Akiva. January 2003. “Modeling Integrated Lane-changing Behavior.” Transportation Research Record: Journal of the Transportation Research Board 1857 (1): 30–38. doi:10.3141/1857-04.
   Google Scholar
• Traficon U S A 2018. “VIP3D.2 Vehicle Presence & Data Detector.” Brochure. Accessed May, 2017. http://www.kargor.com/CL_VIP3D_USAsize_Sep08_email.pdf
   Google Scholar
• Treiber, M., A. Hennecke, and D. Helbing. August 2000. “Congested Traffic States in Empirical Observations and Microscopic Simulations.” Physical Review E 62 (2): 1805–1824. doi:10.1103/PhysRevE.62.1805.
   PubMed Web of Science ®Google Scholar
• Tsai, R. August 1987. “A Versatile Camera Calibration Technique for High-accuracy 3d Machine Vision Metrology Using Off-the-shelf TV Cameras and Lenses.” IEEE Journal on Robotics and Automation 3 (4): 323–344. doi:10.1109/JRA.1987.1087109.
   Web of Science ®Google Scholar
• Vanajakshi, L. D., A. Sharma, S. C. Subramanian, M. Badhrudeen, and H. Thomas 2017. “Platoon Dispersion Modeling under Indian Traffic Conditions.” In Transportation research board 96th annual meeting. Washington DC, United States of America. January 08-12.
   Google Scholar
• Venkatesan, K., A. Gowri, and R. Sivanandan. January 2008. “Development of Microscopic Simulation Model for Heterogeneous Traffic Using Object Oriented Approach.” Transportmetrica 4 (3): 227–247. doi:10.1080/18128600808685689.
   Web of Science ®Google Scholar
• Vlahogianni, E. I., and E. N. Barmpounakis. June 2017. “Driving Analytics Using Smartphones: Algorithms, Comparisons and Challenges.” Transportation Research Part C: Emerging Technologies 79: 196–206. doi:10.1016/j.trc.2017.03.014.
   Web of Science ®Google Scholar
• Wei, H., C. Feng, E. Meyer, and J. Lee. July 2005. “Video-capture-based Approach to Extract Multiple Vehicular Trajectory Data for Traffic Modeling.” Journal of Transportation Engineering 131 (7): 496–505.
   Web of Science ®Google Scholar
• Wei, H., E. Meyer, J. Lee, and C. Feng. January 2000. “Characterizing and Modeling Observed Lane-changing Behavior: Lane-vehicle-based Microscopic Simulation on Urban Street Network.” Transportation Research Record: Journal of the Transportation Research Board 1710 (1): 104–113. doi:10.3141/1710-12.
   Google Scholar
• Welch, B. L. December 1951. “On the Comparison of Several Mean Values: An Alternative Approach.” Biometrika 38 (3/4): 330. doi:10.1093/biomet/38.3-4.330.
   Web of Science ®Google Scholar
• Zaki, M. H., and T. Sayed. August 2013. “A Framework for Automated Road-users Classification Using Movement Trajectories.” Transportation Research Part C: Emerging Technologies 33: 50–73. doi:10.1016/j.trc.2013.04.007.
   Web of Science ®Google Scholar
• Zhang, X., and G. H. Bham 2007. “Estimation of Driver Reaction Time from Detailed Vehicle Trajectory Data.” In Proceedings of the 18th iasted international conference (Vol.7, pp. 574–579). ACTA Press. Montreal, Canada. May 30-June 01.
   Google Scholar
• Zhang, Z. 2000. “A Flexible New Technique for Camera Calibration.” IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (11): 1330–1334. doi:10.1109/34.888718.
   Web of Science ®Google Scholar
• Zhou, J. March 2015. “An Extended Visual Angle Model for Car-following Theory.” Nonlinear Dynamics 81 (1–2): 549–560. doi:10.1007/s11071-015-2010-8.
   Web of Science ®Google Scholar