Open Access
MATEC Web Conf.
Volume 103, 2017
International Symposium on Civil and Environmental Engineering 2016 (ISCEE 2016)
Article Number 08003
Number of page(s) 10
Section Traffic Behaviour and Road Safety Engineering
Published online 05 April 2017
  1. B.H. Goh, K. Subramaniam, Y.T. Wai, A.A. Mohamed, A. Ali, Pedestrian crossing speed: Tthe case of Malaysia, International Journal for Traffic and Transport Engineering 2, 34, 323–332 (2012) [CrossRef] [Google Scholar]
  2. N.I. Ibrahim, F.A. Kidwai, M.R. Karim, Motorists and pedestrian interaction at unsignalised pedestrian crossing, Proceedings of the Eastern Asia society for transportation studies, 5, 120–125 (2005) [Google Scholar]
  3. B.R. Kadali, P. Vedagiri, Modelling pedestrian road crossing behaviour under mixed traffic condition, Eur. Transp. - Trasp. Eur., 55, 1–17 (2013) [Google Scholar]
  4. T. Petzoldt, On the relationship between pedestrian gap acceptance and time to arrival estimates, Accid. Anal. Prev., 2, 127–133 (2014) [CrossRef] [Google Scholar]
  5. D. Sun, S.V.S.K. Ukkusuri, R.F. Benekohal, S.T. Waller, Modeling of motoristpedestrian interaction at uncontrolled mid-block crosswalks, 51, 61801 (2002) [Google Scholar]
  6. T. Wang, J. Wu, P. Zheng, M. McDonald, Study of pedestrians’ gap acceptance behavior when they jaywalk outside crossing facilities, Intelligent Transportation Systems (ITSC), 2010 13th International IEEE Conference, (2010) [Google Scholar]
  7. J.A. Oxley, E. Ihsen, B.N. Fildes, J.L. Charlton, R.H. Day, Crossing roads safely: An experimental study of age differences in gap selection by pedestrians, Accident Analysis & Prevention, 37, 962–971 (2005) [CrossRef] [Google Scholar]
  8. R. Rastogi, S. Chandra, J. Vamsheedhar, V.R. Das, Parametric study of pedestrian speeds at midblock crossings, Journal of Urban Planning and Development, 137, 381–389 (2011) [CrossRef] [Google Scholar]
  9. G. Yannis, E. Papadimitriou, A. Theofilatos, Pedestrian gap acceptance for mid-block street crossing, Transportation Planning and Technology, 36, 450–462 (2013) [CrossRef] [Google Scholar]
  10. M. Brewer, K. Fitzpatrick, J. Whitacre, D. Lord, Exploration of pedestrian gapacceptance behavior at selected locations, Transportation Research Record: Journal of the Transportation Research Board, 1982, 132–140 (2006) [CrossRef] [Google Scholar]
  11. B.R. Kadali, P. Vedagiri, Effect of vehicular lanes on pedestrian gap acceptance behaviour, Procedia-Social and Behavioral Sciences, 104, 678–687 (2013) [CrossRef] [Google Scholar]
  12. R. Lobjois, V. Cavallo, Age-related differences in street-crossing decisions: The effects of vehicle speed and time constraints on gap selection in an estimation task, Accident Analysis & Prevention, 39, 934–943 (2007) [CrossRef] [Google Scholar]
  13. C. Holland, R. Hill, Gender differences in factors predicting unsafe crossing decisions in adult pedestrians across the lifespan: A simulation study, Accident Analysis & Prevention, 42, 1097–1106 (2010) [CrossRef] [Google Scholar]
  14. M.M. Ishaque, R.B. Noland, Behavioural issues in pedestrian speed choice and street crossing behaviour: A review, Transport Reviews, 28, 61–85 (2008) [CrossRef] [Google Scholar]
  15. B.D. Daniel, S.N.M. Nor, M.M. Rohani, J. Prasetijo, M.Y. Aman, K. Ambak, Pedestrian footpath level of service (FOOT-LOS) model for Johor Bahru, MATEC Web of Conferences, 47, EDP Sciences, (2016) [CrossRef] [EDP Sciences] [Google Scholar]
  16. T. Rosenbloom, Crossing at a red light: Behaviour of individuals and groups, Transportation Research Part F: Traffic Psychology and Behaviour, 12, 389–394 (2009) [CrossRef] [Google Scholar]
  17. E. Papadimitriou, G. Yannis, J. Golias, A critical assessment of pedestrian behaviour models, Transportation Research Part F: Traffic Psychology and Behaviour, 12, 242–255 (2009) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.