Road Safety Performance Assessment: A New Road Network Risk Index for Info Mobility

Vaiana, Rosolino; Iuele, Teresa; Astarita, Vittorio; Carmine, Festa D.; Tassitani, Antonio; Rogano, Daniele; Claudio, Zaffino

doi:10.1016/j.sbspro.2014.01.096

Cited by 21 publications

(14 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Perilaku berkendara sangat berpengaruh terhadap keselamatan berlalu lintas. Beberapa komponen perilaku berkendara yang mampu mempengaruhi keselamatan di jalan adalah kecepatan, kelelahan fisik, manuver mendahului, konsumsi alkohol saat berkendara, berkendara di malam hari, usia, jenis kelamin, penggunaan sabuk keselamatan dan helm serta faktor ekonomi dan sosial (Rosolino, 2014).…”

Section: Perilaku Berkendaraunclassified

Keselamatan Berkendara Pada Pengemudi Mobil Penumpang Ditinjau Dari Faktor Kendaraan Dengan Menggunakan Model Confirmatory Factor Analysis (Cfa)

Afrizal¹,

Anggraini

Sugiarto

2022

J. Arsip Rekayasa Sipil Perencanaan

View full text Add to dashboard Cite

World Health Organization (WHO) reported in 2018 that there were 1.25 million people die and more than 30 million injured due to traffic accidents every year. WHO also stated, deaths from road accidents rank as the fifth-leading cause of mortality worldwide and are among the non-communicable diseases with the highest death toll. In Aceh Province, Indonesia, there has been an increase in traffic accidents during the past five years, according to data from Dirlantas Polda Aceh, from year 2013-2016. This study intends to examine how four-wheeled drivers in Banda Aceh City, Aceh Province, perceive the driving safety. The relationship between latent variables and indicators were determined using the Confirmatory Factor Analysis (CFA) method. Primary data was acquired by distributing questionnaire to 270 fourwheeled drivers, as respondent by means of Google Forms. The results demonstrated that only the operational system (SO) and maintenance (PR) latent variables have an impact on driving safety (KB). Driving safety (KB) is influenced by the operational system (SO) by 0.123 and by the maintenance latent variable (PR) by 0.522.

show abstract

Section: Perilaku Berkendaraunclassified

Keselamatan Berkendara Pada Pengemudi Mobil Penumpang Ditinjau Dari Faktor Kendaraan Dengan Menggunakan Model Confirmatory Factor Analysis (Cfa)

Afrizal¹,

Anggraini

Sugiarto

2022

J. Arsip Rekayasa Sipil Perencanaan

View full text Add to dashboard Cite

show abstract

“…Several different indexes have been proposed in the literature to rank the hazardousness of either roads or current driving conditions, etc. As an example, [25] proposed a ranking index of the segments of road in order to alert drivers about arising contingencies in the traffic or in the road.…”

Section: Measuring Road Hazardousnessmentioning

confidence: 99%

Intelligent decision support to determine the best sensory guardrail locations

et al. 2019

View full text Add to dashboard Cite

“…These models are mainly applied when determining the relationship between traffic safety performance and suspected contributing factors [15,33,34]. The idea behind these models is to determine the probability of reduction of road safety performance as a result of the action of several contributing factors, such as geometric road conditions (number of lanes, curvature, gradient, and length) and operating conditions (age, sex, drunkenness, health, and speed of the vehicle) [3,[35][36][37][38][39].…”

Section: Introduction 1backgroundmentioning

confidence: 99%

The Effect of Geometric Road Conditions on Safety Performance of Abu Dhabi Road Intersections

Alghafli

Mohamad

Ahmed

2021

Safety

View full text Add to dashboard Cite

Abu Dhabi’s government has taken several initiatives to improve the safety of the city’s highways, such as reducing traffic accident occurrence, red light violations, and property damage associated with traffic accidents. However, the intersections are still associated with many severe accidents, property damage associated with accidents, and red light violations. To help authorities pinpoint the major contributors to the deterioration of the safety performance of the signalized junctions, this study employed a negative binomial regression model to investigate the effect of geometric road conditions (in terms of the number of lanes of streets found in four-leg, three-leg, and different types of intersection) on property damage, red light violations, and severe accidents as safety performance indicators. The research found that, in both three-leg and four-leg intersections, most accidents and traffic light violations occur when minor streets pass through the intersection. This can be solved by converting these minor streets into major streets by increasing the number of lanes. This way, the capability of the minor street’s handling of increased traffic from the major streets significantly increases. The results also show that traffic speed is a major contributor to safety performance deterioration in these intersections. This can be solved by posting speed limits at these intersections. Results have also shown that, in Direction 1, when the main street passes through the intersection, the property damage type of accident is significantly high. This may be due to the presence of a potentially hazardous property or road design flaws on that side of the road. This effect needs further investigation to determine the hazardous property or the road design flaws causing these accidents.

show abstract

Road Safety Performance Assessment: A New Road Network Risk Index for Info Mobility

Cited by 21 publications

References 9 publications

Keselamatan Berkendara Pada Pengemudi Mobil Penumpang Ditinjau Dari Faktor Kendaraan Dengan Menggunakan Model Confirmatory Factor Analysis (Cfa)

Keselamatan Berkendara Pada Pengemudi Mobil Penumpang Ditinjau Dari Faktor Kendaraan Dengan Menggunakan Model Confirmatory Factor Analysis (Cfa)

Intelligent decision support to determine the best sensory guardrail locations

The Effect of Geometric Road Conditions on Safety Performance of Abu Dhabi Road Intersections

Contact Info

Product

Resources

About