Modeling Pedestrian Crossing Behavior and Safety at Signalized Intersections

2018 ◽  
Vol 2672 (31) ◽  
pp. 76-86 ◽  
Author(s):  
S. Marisamynathan ◽  
P. Vedagiri
Keyword(s):  
Probability Model ◽  
Pearson Correlation ◽  
Personal Characteristics ◽  
Signalized Intersections ◽  
Contributing Factors ◽  
Safety Level ◽  
Traffic Crashes ◽  
User Perceptions ◽  
Binary Logit ◽  
Pedestrian Crossing

Pedestrian noncompliance behavior is one of the most critical causes of pedestrian involved traffic crashes at intersections in India. Thus, the objectives of this study are to examine how various factors affect pedestrian crossing behavior and to propose models for pedestrian crossing behavior and level of safety at signalized intersections which will be useful to regulate pedestrian flow. The data were collected with video and a user perceptions survey at six selected signalized intersections in Mumbai, India. The differences between pedestrian crossing behavior with respect to personal characteristics, socioeconomic attributes, and existing crossing facilities were identified using Pearson correlation and odd ratio tests. Furthermore, the major reasons for noncompliance behavior were obtained by analysis of field data to prevent noncompliance behavior and enhance pedestrian safety. The results showed that a significant number of the pedestrians violated the traffic signal to save time and for convenience (46%). A binary logit model was developed to evaluate the impacts of contributing factors on pedestrian crossing behavior. Further, an ordered probability model was established to evaluate and estimate the pedestrian level of safety at signalized intersections. Two models were validated, and their statistical results show that the models predict the pedestrian crossing behavior and safety level more precisely. Developed models and study outcomes can help transport planners and designers understand pedestrian crossing behavior on crosswalks at signalized intersections and thus create a safer crossing environment for all pedestrians.

scholarly journals Impacts of mobile phone distractions on pedestrian crossing behavior at signalized intersections: An observational study in China

2019 ◽  
Vol 11 (4) ◽  
pp. 168781401984183 ◽  
Author(s):  
Zhuping Zhou ◽  
Sixian Liu ◽  
Wenxin Xu ◽  
Ziyuan Pu ◽  
Shuichao Zhang ◽  
...  
Keyword(s):  
Observational Study ◽  
Mobile Phone ◽  
Signalized Intersections ◽  
Pedestrian Crossing

Operational Effects of the Consolidated Intersection Design on Urban and Suburban Arterials

2018 ◽  
Vol 2672 (17) ◽  
pp. 96-107
Author(s):  
Daniel J. Cook
Keyword(s):  
Travel Time ◽  
Signalized Intersections ◽  
Signal Timing ◽  
Left Turn ◽  
Vehicle Delay ◽  
Cycle Lengths ◽  
Expected Benefits ◽  
Traffic Signal Timing ◽  
Critical Phases ◽  
Pedestrian Crossing

Along urban and suburban arterials, closely-spaced signalized intersections are commonly used to provide access to adjacent commercial developments. Often, these signalized intersections are designed to provide full access to developments on both sides of the arterial and permit through, left-turn, and right-turn movements from every intersection approach. Traffic signal timing is optimized to reduce vehicle delay or provide progression to vehicles on the arterial, or both. However, meeting both of these criteria can be cumbersome, if not impossible, under high-demand situations. This research proposes a new design that consolidates common movements at three consecutive signalized intersections into strategic fixed locations along the arterial. The consolidation of common movements allows the intersections to cycle between only two critical phases, which, in turn, promotes shorter cycle lengths, lower delay, and better progression. This research tested the consolidated intersection concept by modeling a real-world site in microsimulation software and obtaining values for delay and travel time for multiple vehicle paths along the corridor and adjacent commercial developments in both existing and proposed conditions. With the exception of unsignalized right turns at the periphery of the study area, all non-displaced routes showed a reduction in travel time and delay. Additional research is needed to understand how additional travel through the commercial developments adjacent to the arterial may effect travel time and delay. Other expected benefits of the proposed design include a major reduction in conflict points, shorter pedestrian crossing and wait times, and the opportunity to provide pedestrian refuge areas in the median.

scholarly journals Pedestrian Compliance at Signalized Intersections along Major Arterials

2021 ◽  
Vol 15 (1) ◽  
pp. 210-216
Author(s):  
Khaled Shaaban
Keyword(s):  
Regression Models ◽  
Middle Age ◽  
Compliance Rate ◽  
Signalized Intersections ◽  
Video Data ◽  
Logistic Regression Models ◽  
Several Variables ◽  
Pedestrian Crashes ◽  
Pedestrian Crossing ◽  
Multiple Intersections

Background: Pedestrian non-compliance at signalized crossings is unsafe and considered one of the causes of pedestrian crashes. The speed limit on most major urban roads is 60 km/hr or less. However, the speed on some urban roads is higher in some countries. In this case, the situation is more unsafe and increases the possibility of fatal injuries or fatalities in the case of a crash. Therefore, it is expected that the pedestrians will be more cautious on these roads. Aim: This study aims to explore pedestrian compliance at signalized intersections on major arterials with 80 km/hr speeds in Qatar. Methods: Video data were collected for pedestrian movements at multiple intersections. Results: The study reported a 68.1 percent compliance rate at the study locations. The results also revealed that 14.6 percent of the pedestrians crossed during the Flashing Don’t Walk interval and 17.3 percent crossed during the Steady Don’t Walk interval. These rates are considered high compared to other countries. Several variables that may influence pedestrians’ behavior were investigated. Binary and ordinal logistic regression models were developed to describe the pedestrian crossing behavior as a function of these variables. Conclusion: Male and middle-age pedestrians were more likely to cross during these two intervals. The analysis showed that female pedestrians, elder pedestrians, pedestrians crossing in groups, pedestrians waiting before crossing, and pedestrians crossing against a flow of other pedestrians are more likely to comply and cross during the Walk interval compared to other groups. Several solutions were proposed in the study to increase compliance rates.

scholarly journals Modelling Pedestrian Crossing Behaviour at a Midblock Section

2021 ◽  
Vol 29 (3) ◽  
pp. 15-21
Author(s):  
Yugendar Poojari ◽  
E. Prashanth ◽  
D. Divya ◽  
M. Kalyani
Keyword(s):  
Urban Areas ◽  
Statistical Tests ◽  
Pearson Correlation ◽  
Multiple Linear Regression Model ◽  
Percentage Error ◽  
Commercial Vehicles ◽  
Shortest Route ◽  
Type Pattern ◽  
And Gender ◽  
Pedestrian Crossing

Abstract In general, pedestrians want to cross a road at a mid-block section instead of intersections because it is the shortest route. According to an Indian scenario, most of the crosswalks in urban areas are not signalised and controlled. In this study, the crossing behaviour of pedestrians in terms of speed at a midblock section was studied by considering several parameters. Statistical tests such as ANOVA and Pearson correlation tests were performed in order to know the effect of parameters on the crossing speed of a pedestrian. The pedestrian’s age and gender, crossing type, pattern, time, number of stops, number of two wheelers, three wheelers, light and heavy commercial vehicles, and groups significantly affect their crossing speed. A multiple linear regression model was developed by considering the most significant parameters. The mean absolute percentage error, root mean square error, and R2 values were calculated to validate the models.

scholarly journals Analysis of Pedestrians’ Perceptions about the Design Aspects of Crossing Facilities: A Case in Nizwa, Oman

2021 ◽  
Vol 6 (12) ◽  
pp. 175
Author(s):  
Muhammad Ashraf Javid ◽  
Mashood Khalid ◽  
Nazam Ali ◽  
Tiziana Campisi ◽  
Antonino Canale ◽  
...  
Keyword(s):  
Personal Characteristics ◽  
Health Conditions ◽  
Key Factors ◽  
Good Design ◽  
Pedestrian Bridges ◽  
Safety And Health ◽  
Pedestrian Crossing

This study aims to identify the key factors in pedestrians’ intentions when using crossing facilities. For this purpose, a comprehensive questionnaire was designed and conducted at selected locations in Nizwa city. The main investigated variables are linked to personal characteristics, opinions on the main reasons for accidents, and how hard it is for pedestrians to cross roads at different locations in Nizwa city. Statements were also designed on the safety and health aspects of pedestrian crossings, as well as the physical and design aspects of pedestrian crossing facilities. Suitable locations were selected for the survey to assess the main concerns of pedestrian facilities. A total of 280 usable samples were collected from the selected locations. The analysis results revealed that young pedestrians do not find it difficult to use pedestrian bridges and underpasses when crossing roads. Pedestrians’ prioritization of safety when crossing, pedestrians’ health conditions, the proper cleaning and lighting of facilities, and the good design of facilities are significant determinants of pedestrians’ intentions when using crossing facilities. Crossing facilities need to be maintained properly, for example, through the cleaning and lighting of facilities. Proper awareness among pedestrians and vehicle drivers is required for the safety of pedestrians.

Identifying Patterns of Key Factors in Sun Glare-Related Traffic Crashes

2021 ◽  
pp. 036119812110378
Author(s):  
Subasish Das ◽  
Xiaoduan Sun ◽  
Bahar Dadashova ◽  
M. Ashifur Rahman ◽  
Ming Sun
Keyword(s):  
Environmental Issues ◽  
The United States ◽  
Traffic Information ◽  
Key Factors ◽  
Contributing Factors ◽  
Additional Insight ◽  
Traffic Crashes ◽  
Traffic Crash ◽  
Single Vehicle ◽  
Open Country

Sun glare is one of the major environmental issues contributing to traffic crashes. Every year, many traffic crashes in the United States are attributed to sun glare. However, quantitative analysis of the influence of sun glare on traffic crashes has not been widely undertaken. This study used traffic crash narrative data for 7 years (2010–2016) from Louisiana to identify crash reports that provided evidence of drivers indicating sun glare as the primary contributing factor of the crashes. Additional geometry and traffic information was collected to identify the list of key crash-contributing factors. This study used cluster correspondence analysis to perform the data analysis. After performing several iterations, six clusters were identified that provided additional insight in relation to sun glare-related crashes. The six clusters are associated with mixed (business and residential) localities, intersection-related crashes on U.S. roadways, single-vehicle crashes on residential two-lane undivided roadways, curve-related crashes on parish roadways in residential localities, interstate-related crashes in open country localities, and curve-related crashes in open country localities. The findings of the current study can add insights to the ongoing safety analysis on sun glare-related crashes.

Understanding the Nuances of Employees’ Safety to Improve Job Satisfaction of Employees in Manufacturing Sector

2019 ◽  
Vol 21 (2) ◽  
pp. 326-336
Author(s):  
Meha Joshi
Keyword(s):  
Job Satisfaction ◽  
Safety Factor ◽  
Safety Management ◽  
Manufacturing Sector ◽  
Linear Regression Analysis ◽  
Positive Influence ◽  
Satisfaction Level ◽  
Contributing Factors ◽  
Safety Level ◽  
Safety Perception

Safety of employees is one of the important concerns of the manufacturing organizations and needs to be addressed carefully. It was once, not in ambit of focus but the realization of making safety management as an integral part of the organization is gaining pace. The research article attempts to study the influence of safety perception of the employees on their job satisfaction level in selected small and medium manufacturing enterprises of Uttarakhand in India. A self-developed 29 items scale was used to determine the safety level of employees and job satisfaction inventory by Paul and Spector was used for assessing the job satisfaction level of employees. Linear regression analysis was used to find the degree of influence of safety on job satisfaction level of employees. Stepwise multiple regressions were used to identify the safety factor which contributes the most for employee’s job satisfaction. The research highlights positive influence of safety perception of employees on their job satisfaction level and draws attention towards safety as predictor of job satisfaction. Training and supervision and work procedures were identified as the most contributing factors to enhance job satisfaction of the employees. This study could be helpful for organizations to identify most contributing safety factor which lead to improving the level of job satisfaction among employees.

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