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ARTICLES

Models to evaluate the severity of pedestrian-vehicle conflicts in five cities

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Pages 354-375 | Received 24 Sep 2017, Accepted 14 May 2018, Published online: 12 Jun 2018

References

  • Abdul Aziz, H. M., S. V. Ukkusuri, and S. Hasan. 2013. “Exploring the Determinants of Pedestrian-vehicle Crash Severity in New York City.” Accident Analysis and Prevention 50: 1298–1309. doi: 10.1016/j.aap.2012.09.034
  • Alhajyaseen, W. 2015. “The Integration of Conflict Probability and Severity for the Safety Assessment of Intersections.” Arabian Journal for Science and Engineering 40 (2): 421–430. doi: 10.1007/s13369-014-1553-1
  • Alhajyaseen, W. K., M. Asano, and H. Nakamura. 2012. “Estimation of Left-turning Vehicle Maneuvers for the Assessment of Pedestrian Safety at Intersections.” IATSS Research 36: 66–74. doi: 10.1016/j.iatssr.2012.03.002
  • Alhajyaseen, W. K., and M. Iryo-Asano. 2017. “Studying Critical Pedestrian Behavioral Changes for the Safety Assessment at Signalized Crosswalks.” Safety Science 91: 351–360. doi: 10.1016/j.ssci.2016.09.002
  • Amundsen, F., and C. Hydén. 1977. Proceedings of First Workshop on Traffic Conflicts. Oslo, Norway, s.n.
  • Archer, J. 2004. “ Methods for the Assessment and Prediction of Traffic Safety at Urban Intersections and their Application in Micro-simulation Modelling.” PhD thesis, Royal Institute of Technology.
  • Asmussen, E. 1984. International Calibration Study of Traffic Conflict Techniques. Institute for Road Safety Research SWOV, The Netherlands ed. s.l. Berlin: Springer.
  • Atchley, P., J. Shi, and T. Yamamoto. 2014. “Cultural Foundations of Safety Culture: A Comparison of Traffic Safety Culture in China, Japan and the United States.” Transportation Research Part F 26: 317–325. doi: 10.1016/j.trf.2014.01.004
  • Bagdadi, O., and A. Várhelyi. 2013. “Development of a Method for Detecting Jerks in Safety Critical Events.” Accident Analysis & Prevention 50: 83–91. doi: 10.1016/j.aap.2012.03.032
  • Brooks, S. P., and A. Gelman. 1998. “General Methods for Monitoring Convergence of Iterative Simulations.” Journal of Computational and Graphical Statistics 7: 434–455.
  • Chin, H.-C., and S.-T. Quek. 1997. “Measurement of Traffic Conflicts.” Safety Science 26 (3): 169–185. doi: 10.1016/S0925-7535(97)00041-6
  • Crosbie, J., and V. Ko. 2000. “Changes in the Temporal and Distance Parameters of Gait Evoked by Negotiation of Curbs.” Australian Journal of Physiotherapy 46 (2): 103–112. doi: 10.1016/S0004-9514(14)60318-4
  • El-Basyouny, K., and T. Sayed. 2009. “Accident Prediction Models with Random Corridor Parameters.” Accident Analysis and Prevention 41: 1118–1123. doi: 10.1016/j.aap.2009.06.025
  • Eluru, N., C. R. Bhat, and D. A. Hensher. 2008. “A Mixed Generalized Ordered Response Model for Examining Pedestrian and Bicyclist Injury Severity Level in Traffic Crashes.” Accident Analysis and Prevention 40: 1033–1054. doi: 10.1016/j.aap.2007.11.010
  • Fleiss, J. L. 1971. “Measuring Nominal Scale Agreement among Raters.” Psychological Bull 76 (5): 378–382. doi: 10.1037/h0031619
  • Gang, R., C. Gu, L. Lu, Z. Zhou, and C. Ding. 2012. “Modeling Risk Degree of Conflicts Between Crossing Pedestrians and Vehicles at Signalized Intersections.” Journal of Transportation Systems Engineering and Information Technology 12 (5): 76–81. doi: 10.1016/S1570-6672(11)60224-9
  • Grayson, G., C. Hyden, J. H. Kraay, N. Muhlrad, and S. Oppe. 1984. The Malmö Study: A Calibration of Traffic Conflict Techniques. Leidschendam: R-84-12, Institute for Road Safety Research SWOV.
  • Haleem, K., P. Alluri, and A. Gan. 2015. “Analyzing Pedestrian Crash Injury Severity at Signalized and Non-signalized Locations.” Accident Analysis and Prevention 81: 14–23. doi: 10.1016/j.aap.2015.04.025
  • Hayward, J. 1972. “Near-Miss Determination Through Use of a Scale of Danger.” Highway Research Board 384: 24–35.
  • Hediyeh, H., T. Sayed, M. H. Zaki, and G. Mori. 2014. “Pedestrian Gait Analysis Using Automated Computer Vision Techniques.” Transportmetrica A: Transport Science 10 (3): 214–232. doi: 10.1080/18128602.2012.727498
  • Hussein, M., and T. Sayed. 2015. “Microscopic Pedestrian Interaction Behavior Analysis Using Gait Parameters.” Transportation Research Record: Journal of the Transportation Research Board 2519: 28–38. doi: 10.3141/2519-04
  • Iryo-Asano, M., and W. K. Alhajyaseen. 2017. “Modeling Pedestrian Crossing Speed Profiles Considering Speed Change Behavior for the Safety Assessment of Signalized Intersections.” Accident Analysis & Prevention 108: 332–342. doi: 10.1016/j.aap.2017.08.028
  • Ismail, K., T. Sayed, and N. Saunier. 2011. “Methodologies for Aggregating Indicators of Traffic Conflict.” Transportation Research Record: Journal of the Transportation Research Board 2237: 10–19. doi: 10.3141/2237-02
  • Ismail, K., T. Sayed, and N. Saunier. 2013. “A Methodology for Precise Camera Calibration for Data Collection Applications in Urban Traffic Scenes.” Canadian Journal of Civil Engineering 40 (1): 57–67. doi: 10.1139/cjce-2011-0456
  • Ismail, K., T. Sayed, N. Saunier, and C. Lim. 2009. “Automated Analysis of Pedestrian–Vehicle Conflicts Using Video Data.” Transportation Research Record: Journal of the Transportation Research Board 2140: 44–54. doi: 10.3141/2140-05
  • Kadali, B. R., and P. Vedagiri. 2016. “Proactive Pedestrian Safety Evaluation at Unprotected Mid-block Crosswalk Locations Under Mixed Traffic Conditions.” Safety Science 89: 94–105. doi: 10.1016/j.ssci.2016.05.014
  • Kaparias, I., M. Bell, J. Greensted, S. Cheng, A. Miri, C. Taylor, B. Mount, et al. 2010. “Development and Implementation of a Vehicle–Pedestrian Conflict Analysis Method.” Transportation Research Record: Journal of the Transportation Research Board 2198: 75–82. doi: 10.3141/2198-09
  • Laureshyn, A., H. Ardo, A. Svensson, and T. Jonsson. 2009. “Application of Automated Video Analysis for Behavioural Studies: Concept and Experience.” IET Intelligent Transport Systems 3 (3): 345–357. doi: 10.1049/iet-its.2008.0077
  • Liu, Y.-C., and Y.-C. Tung. 2014. “Risk Analysis of Pedestrians’ Road-crossing Decisions: Effects of age, Time gap, Time of day, and Vehicle Speed.” Safety Science 63: 77–82. doi: 10.1016/j.ssci.2013.11.002
  • Lund, I. O., and T. Rundmo. 2009. “Cross-cultural Comparisons of Traffic Safety, Risk Perception, Attitudes and Behaviour.” Safety Science 47: 547–553. doi: 10.1016/j.ssci.2008.07.008
  • Medina, J. C., R. F. Benekohal, and M.-H. Wang. 2008. In-street Pedestrian Crossing Signs and Effects on Pedestrian-vehicle Conflicts At University Campus Crosswalks. Washington, DC: Transportation Research Board Annual Meeting.
  • Nadimi, N., H. Behbahani, and H. Shahbazi. 2016. “Calibration and Validation of a new Time-Based Surrogate Safety Measure Using Fuzzy Inference System.” Journal of Traffic and Transportation Engineering 3 (1): 51–58.
  • Nordfjærn, T., Ö. Şimşekğlu, and T. Rundmo. 2014a. “Culture Related to Road Traffic Safety: A Comparison of Eight Countries Using Two Conceptualizations of Culture.” Accident Analysis and Prevention 62: 319–328. doi: 10.1016/j.aap.2013.10.018
  • Nordfjærn, T., Ö. Şimşekoğlu, M. F. Zavareh, A. M. Hezaveh, A. R. Mamdoohi, and T. Rundmo. 2014b. “Road Traffic Culture and Personality Traits Related to Traffic Safety in Turkish and Iranian Samples.” Safety Science 66: 36–46. doi: 10.1016/j.ssci.2014.02.004
  • Parker Jr, M., and C. Zegeer. 1989. Traffic Conflict Techniques for Safety and Operations, McLean, Virginia: Federal Highway Administration, Report No. FHMA-IP-88-027.
  • Rundmo, T., J. Granskaya, and H. Klempe. 2012. “Traffic Culture as Symbol Exchange – A Cross-country Comparison of Russia and Norway.” Safety Science 50: 1261–1267. doi: 10.1016/j.ssci.2011.12.001
  • Sacchi, E., T. Sayed, and P. deLeur. 2013. “A Comparison of Collision-based and Conflict-based Safety Evaluations: The Case of Right-turn Smart Channels.” Accident Analysis and Prevention 59: 260–266. doi: 10.1016/j.aap.2013.06.002
  • Saunier, N., A. El Husseini, K. Ismail, C. Morency, J.-M. Auberlet, and T. Sayed. 2011. “Estimation of Frequency and Length of Pedestrian Stride in Urban Environments with Video Sensors.” Transportation Research Record: Journal of the Transportation Research Board 2264: 138–147. doi: 10.3141/2264-16
  • Saunier, N., and T. Sayed. 2006. “ A Feature-based Tracking Algorithm for Vehicles in Intersections.” s.l., IEEE 3rd Canadian Conference on Computer and Robot Vision.
  • Saunier, N., and T. Sayed. 2008. “Probabilistic Framework for the Automated Analysis of the Exposure to Road Collision.” Transportation Research Record: Journal of the Transportation Research Board 2083: 96–104. doi: 10.3141/2083-11
  • Saunier, N., T. Sayed, and K. Ismail. 2010. “Large-scale Automated Analysis of Vehicle Interactions and Collisions.” Transportation Research Record: Journal of the Transportation Research Board 2147: 42–50. doi: 10.3141/2147-06
  • Sayed, T., M. H. Zaki, and J. Autey. 2013. “Automated Safety Diagnosis of Vehicle–bicycle Interactions Using Computer Vision Analysis.” Safety Science 59: 163–172. doi: 10.1016/j.ssci.2013.05.009
  • Sayed, T., and S. Zein. 1999. “Traffic Conflict Standards for Intersections.” Transportation Planning and Technology 22 (4): 309–323. doi: 10.1080/03081069908717634
  • Shinar, D. 1984. “The Traffic Conflict Technique: A Subjective vs. Objective Approach.” Journal of Safety Research 15: 153–157. doi: 10.1016/0022-4375(84)90046-X
  • Songchitruksa, P., and A. P. Tarko. 2006. “The Extreme Value Theory Approach to Safety Estimation.” Accident Analysis and Prevention 38: 811–822. doi: 10.1016/j.aap.2006.02.003
  • Spiegelhalter, D. J., N. G. Best, B. P. Carlin, and A. van der Linde. 2002. “Bayesian Measures of Model Complexity and fit.” Journal of the Royal Statistical Society B 64 (4): 583–639. doi: 10.1111/1467-9868.00353
  • Svensson, Å. 1992. Further Development and Validation of the Swedish Traffic Conflicts Technique. Lund, Sweden: Lund University, Department of Traffic Planning and Engineering.
  • Sze, N. N., and S. C. Wong. 2007. “Diagnostic Analysis of the Logistic Model for Pedestrian Injury Severity in Traffic Crashes.” Accident Analysis and Prevention 39: 1267–1278. doi: 10.1016/j.aap.2007.03.017
  • Tageldin, A., and T. Sayed. 2016. “Developing Evasive Action-Based Indicators for Identifying Pedestrian Conflicts in Less Organised Traffic Environments.” Journal of Advanced Transportation 50 (6): 1193–1208. doi: 10.1002/atr.1397
  • Tageldin, A., T. Sayed, and X. Wang. 2015. “Can Time Proximity Measures Be Used as Safety Indicators in all Driving Cultures? A Case Study of Motorcycle Safety in China.” Transportation Research Record: Journal of the Transportation Research Board 2520: 165–174. doi: 10.3141/2520-19
  • Tiwari, G., D. Mohan, and J. Fazio. 1998. “Conflict Analysis for Prediction of Fatal Crash Locations in Mixed Traffic Streams.” Accident Analysis & Prevention 30 (2): 207–215. doi: 10.1016/S0001-4575(97)00082-1
  • Tomasi, C., and T. Kanade. 1991. Detection and Tracking of Point Features, s.l.: Carnegie Mellon University Technical Report CMU-CS-91-132.
  • Verzosa, N., and R. Miles. 2016. “Severity of Road Crashes Involving Pedestrians in Metro Manila, Philippines.” Accident Analysis and Prevention 94: 216–226. doi: 10.1016/j.aap.2016.06.006
  • Zaki, M. H., and T. Sayed. 2013. “Automated Classification of Road-User Movement Trajectories.” Transportation Research Part C 33: 50–73. doi: 10.1016/j.trc.2013.04.007
  • Zaki, M. H., T. Sayed, and K. Shaaban. 2014. “Using Drivers’ Jerk Profiles in Computer Vision Based Traffic Safety Evaluations.” Transportation Research Record: Journal of the Transportation Research Board 2434: 103–112. doi: 10.3141/2434-13
  • Zhang, Y., S. A. Mamun, J. N. Ivan, N. Ravishanker, and K. Haque. 2015. “Safety Effects of Exclusive and Concurrent Signal Phasing for Pedestrian Crossing.” Accident Analysis and Prevention 83: 26–36. doi: 10.1016/j.aap.2015.06.010

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