The impact of waiting time and other factors on dangerous pedestrian crossings and violations at signalized intersections: A case study in Montreal

Red light violations by adult pedestrians and other safety-related behaviors at signalized crosswalks

“…Low traffic volume appears to be a risk factor for crossing against the light (Guo, Gao, Yiang, & Jiang, 2011;Sisiopiku & Aking, 2003;Yagil, 2000) and it seems that the longer people have to wait for the pedestrian light to turn green, the more likely they are to cross the street beforehand (Brosseau et al, 2013;Guo, Wang, Guo, Jiang & Bubb, 2012).…”

“…For example, Rosenbloom (2009) shows that the level of pedestrian density, i.e. the number of pedestrians waiting to cross together (group size), is an important factor in red light violations: the higher the number of pedestrians present at the curb, the lower the rate of people crossing on the red light (Rosenbloom, 2009;Brosseau et al, 2013). But Ren et al…”

“…Most of the existing research employs methodology such as video analyses (Brosseau et al, 2013;Hamed, 2001;Tiwari et al, 2007;Zhuang & Whu, 2011, observation grids (Cinnamon et al, 2011;Rosembloom, 2009) or questionnaires alone (Moyano Diaz, 2002;Yagil, 2000) to study crossing behaviors. Sisiopiku and Aking (2003) did use video analyses as well as questionnaires, but to study the reasons behind a pedestrian's choice to cross at a specific location.…”

A Driving Violation Index Modelling Study at Intersections in Urban Precincts Using Big Data

“…Through the factor analysis of the data, this thesis got a coefficient matrix of factor scores. Mlanes The number of lanes of major road X 4 Slanes The number of lanes of minor road X 5 Angle The included angle of intersected roads (Degree) X 6 Alanes The number of accommodation lanes of all the entrances, and the accommodation lanes include left-lane and right-lane X 7 Widthr Width of main entrance road(m) X 8 Widthl Width of main entrance lane(m) X 9 Divided The number of parts road are divided X 10 Dsd Design speed of road (10 km/h) X 11 Direct One-way road values 1, and two-way road values 0 X 12 Control Mode of control signal at intersection (Fixed period/induction/coordinated control value 1/2/3) X 13 Mred Average red time of main road (min) X 14 Camara The number of Video surveillance facilities at intersection X 15 Vol Daily traffic volume at intersection (thousand vehicles) X 16 Hvol Daily traffic volume of large scale vehicles at intersections (thousand vehicles) X 17 Bvol Daily traffic volume of non-motor vehicles at intersection (thousand vehicles) X 18 Mque Average queue length of main road (m) X 19 Bsp According to the analysis result, this thesis reduced the original five impact factors to four impact factors, excluding the environmental factor. Meanwhile, the factor scores of the angle of intersection, the width of lane, the design speed and the one-way road are all less than 0.1, so they are all excluded.…”

“…Medina suggests that driver violation or error contributes to as much as 75% of all roadway crashes, which attempts to construct a generic taxonomy of driver errors and driver error causal factors, based on a synthesis of the available literature on human error and its causal factors [10]. Brosseau study the impact of waiting time and other factors on violations at signalized intersections [11]. Akaateba investigates the influence of three distinct variables: driver educational attainment, driving experience, and form of driver training on drivers' self-reported attitudes towards the frequency of commission of traffic safety violations [12].…”