Pedestrian fuzzy risk exposure indicator

Mandar, Meriem; Boulmakoul, Azedine; Lbath, Ahmed

doi:10.1016/j.trpro.2017.03.019

Cited by 6 publications

(3 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Their research assesses the risk of accidents not only for vehicles but also for pedestrians and identifies accident zones on a given road network. Mandar et al [11] present a new way of measuring a virtual pedestrian-vehicle mutual accident risk indicator. Pedestrian dynamics are modeled using the basic fuzzy-ant model [4], to which an artificial potential field is integrated.…”

Section: Related Workmentioning

confidence: 99%

Towards a Safe Pedestrian Walkability Under Intuitionistic Fuzzy Environment: A Real-Time Reactive Microservice-Oriented Ecosystem

Cherradi

Boulmakoul

Karim

et al. 2021

Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation

Self Cite

View full text Add to dashboard Cite

In order to improve pedestrian safety, it is important to identify suitable routes for walking. This paper presents a real-time reactive system that aims to provide the safest route among all possible routes at a given time, based on intuitionistic fuzzy pedestrian risk modeling. It derives multi criteria decision making to support complex environments using membership and non-membership attributes to generate the intuitionistic fuzzy risk weighting graph based on risk measures. The proposed system involves the pgRouting open-source library that extends the PostGIS/PostgreSQL geospatial database, to provide geospatial routing capabilities. Therefore, we offer a web-location based service allowing pedestrians to enter their destination; then select a route using an intelligent algorithm; providing them with the safest route possible instead of the fastest route. This service will certainly help save lives and reduce pedestrian accidents to some extent.

show abstract

Section: Related Workmentioning

confidence: 99%

Towards a Safe Pedestrian Walkability Under Intuitionistic Fuzzy Environment: A Real-Time Reactive Microservice-Oriented Ecosystem

Cherradi

Boulmakoul

Karim

et al. 2021

Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation

Self Cite

View full text Add to dashboard Cite

show abstract

“…The traffic Police data of Hosanna town showed that, younger age (18-50) drivers were more frequently involved in RTAs than adult and old aged (>51) years ( Table 1). The young drivers with an age from (18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) are the most vulnerable, which results a total record of 122 accidents (50.6%) within only three years. This is mainly due to the fact that the adolescent's age groups are risk taking behaviour and have low driving experience.…”

Section: Drivers Related Factorsmentioning

confidence: 99%

“…Road characteristics, roadway features, and user characteristics are some of the major factors for identification of accident-prone areas through GIS technology (Kamalasudhan et al, 2009). Urban planner focused on improving road use of vehicles, while neglecting the needs of the most vulnerable road users are pedestrians (Mandar et al, 2017). Because of the frequent occurrences of traffic accidents, there is a growing concern in traffic accident rate in recent years.…”

Section: Introductionmentioning

confidence: 99%

Identifying Road Traffic Accidents Hotspots Areas Using GIS in Ethiopia: A Case Study of Hosanna Town

Hayidso

Gemeda

Abraham

2019

Transport and Telecommunication Journal

View full text Add to dashboard Cite

Due to increasing human population and the number of vehicles, road traffic accident has significant influence on human life and economic development. In the present study, road traffic accident data of three years (2015-2017) were obtained from Hosanna Town Traffic Police Department, and Hosanna Town Transport Authority in Ethiopia. The Global Position System was used to know X, Y coordinates of the accident locations. Global Position System point data and accident data were added to road network data using the ‘Joins and relates’ function in ArcGIS. The results of the study showed a total of 241 Road traffic accidents (RTAs) were occurred in the town from which about 208 victims occurred on people and 33 damaged properties. Based on severity and frequencies of RTAs top nine hot spot areas were identified which requires high attention to protect people and property from damage and loss. Thus, the government and other concerned stakeholders should provide public education and awareness creation to reduce risk of fatalities and property damage due to RTAs in Hosanna town.

show abstract