Parametric Study of Pedestrian Speeds at Midblock Crossings

Rastogi, R. G.; Chandra, Satish; Vamsheedhar, J.; Das, Vivek R.

doi:10.1061/(asce)up.1943-5444.0000083

Cited by 57 publications

(18 citation statements)

References 16 publications

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“…Males have a tendency to show more hazardous road crossing behavior than females due to less waiting time (Khan et al, 1999;Tiwari et al, 2007). Few studies have also explored the importance of the pedestrian speed at different locations (Knoblauch et al, 1996;Rastogi et al, 2011), such as the zebra crossing location (Varhelyi, 1998) and signalized intersections (Tarawneh, 2001). Outline of these studies suggest that males walk significantly faster than females while crossing the roads.…”

Section: Literature Reviewmentioning

confidence: 97%

Pedestrian Crossing Behaviour Analysis at Intersections

Jain¹,

Gupta²,

Rastogi³

2014

IJTTE

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Pedestrian crossing behavior is analyzed for the provision of proper pedestrian facilities at desired locations, as well as to improve their safety while crossing the road. This paper presents the analysis of pedestrian crossing behavior from a study conducted at Roorkee city (Uttarakhand state in India). The effect of pedestrian characteristics like age, gender and that of carrying baggage and luggage as well as their crossing patterns were examined on pedestrian flow characteristics like crossing speed and waiting time. Pedestrian safety was also analyzed with respect to safety margins and gaps accepted by pedestrian in traffic stream. Crossing patterns were observed for different age group and gender.

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Section: Literature Reviewmentioning

confidence: 97%

Pedestrian Crossing Behaviour Analysis at Intersections

Jain¹,

Gupta²,

Rastogi³

2014

IJTTE

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“…The 15 th percentile speed of 0.95 m/s should be used for the design Goh and Lam [30] pointed out that the pedestrians crossing in oblique fashion with two-stage crossing have lower speed as compared to one-stage crossing. Moreover, Rastogi et al [31] deduced that traffic volume, width of road and urban area size have positive influence on the crossing speed. The preceding discussion reveals that the socio-demographic factors (such as gender, age group size), geometric characteristics (such as road width, road classification) and flow conditions are the significant factors influencing the crossing speed of pedestrians at signalised crosswalks.…”

Section: Introductionmentioning

confidence: 99%

Modelling the Pedestrian Speed at Signalised Intersection Crosswalks for Heterogeneous Traffic Conditions

Bansal

Goyal

Sharma

2019

PROMET

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Pedestrian crossing speed is the key element in the design of pedestrian facilities. It depends on various attributes related to road, traffic and pedestrians. In this paper, an attempt has been made to explore the variation, examine the influencing factors and formulate a model for the pedestrian crossing speed at signalised intersection crosswalks. The data have been collected using video graphic technique at 16 signalised crosswalks of the Chandigarh city. The findings reveal that a 15th percentile crossing speed (1.11-1.31 m/s) exceeds the design crossing speed of 0.95 m/s. It is also higher than the crossing speed of 1.2 m/s, usually being prescribed and adopted in the developed countries. The statistical analysis indicates no significant difference in the percentile crossing speeds between males and females. However, the variation exists among different age groups, group sizes, and crossing patterns. The correlation analysis depicts that the pedestrian crossing speed has significant negative correlation with the crosswalk width, the crosswalk length, the width of the pedestrian island, the classification of road, average traffic flow and average pedestrian delay, whereas the availability of separate bicycle paths at intersections is positively correlated. Furthermore, the stepwise regression model with 70.1 percent accuracy reveals that the crosswalk width, the width of the pedestrian island and the average pedestrian delay play a predominant role in determining the pedestrian crossing speed. The authors propose the usage of the developed model for setting out the standards for the appropriate design crossing speed for different crosswalks having similar geometric and traffic conditions as that of the study area.

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“…We assume that high movement speed is an indicator for a low crowd density whereas a slow movement speed suggests a high crowd density. Rastogi et al conducted a comprehensive comparison of pedestrian walking speeds based on literature from 1967 to 2007 [14]. The values of average speed for adults vary from 1.32 m/s to 1.51 m/s.…”

Section: Movement Trajectories From Smartphone Datamentioning

confidence: 99%

Routing in Dense Human Crowds Using Smartphone Movement Data and Optical Aerial Imagery

Hillen

Meynberg

Höfle

2015

IJGI

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Abstract:In this paper, we propose a navigation approach for smartphones that enables visitors of major events to avoid crowded areas or narrow streets and to navigate out of dense crowds quickly. Two types of sensor data are integrated. Real-time optical images acquired and transmitted by an airborne camera system are used to compute an estimation of a crowd density map. For this purpose, a patch-based approach with a Gabor filter bank for texture classification in combination with an interest point detector and a smoothing function is applied. Furthermore, the crowd density is estimated based on location and movement speed of in situ smartphone measurements. This information allows for the enhancement of the overall crowd density layer. The composed density information is input to a least-cost routing workflow. Two possible use cases are presented, namely (i) an emergency application and (ii) a basic routing application. A prototypical implementation of the system is conducted as proof of concept. Our approach is capable of increasing the security level for major events. Visitors are able to avoid dense crowds by routing around them, while security and rescue forces are able to find the fastest way into the crowd.

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Parametric Study of Pedestrian Speeds at Midblock Crossings

Cited by 57 publications

References 16 publications

Pedestrian Crossing Behaviour Analysis at Intersections

Pedestrian Crossing Behaviour Analysis at Intersections

Modelling the Pedestrian Speed at Signalised Intersection Crosswalks for Heterogeneous Traffic Conditions

Routing in Dense Human Crowds Using Smartphone Movement Data and Optical Aerial Imagery

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