Remedial Safety Treatment of Accident-Prone Locations

Siregar, Martha Leni; Alawiyah, Tuti; Tjahjono, Tri

doi:10.14716/ijtech.v6i4.1097

Cited by 4 publications

(4 citation statements)

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“…This may be related to driver's bigger efforts in driving maneuvers along curves to counter the centrifugal force in particular at curves with inadequate superelevations. This is also in line with Siregar [33] who suggested that road safety can be improved by changing the patterns of traffi c interactions through road design features changes. Driver's limited sight distances along curves can prevent drivers from making the right maneuvers to avoid hitting pedestrians.…”

Section: Resultssupporting

confidence: 84%

Analyzing driving environment factors in pedestrian crashes injury levels in Jakarta and the surrounding cities

Siregar¹,

Sumabrata²,

Kusuma³

et al. 2019

J Appl Eng Science

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Pedestrian-vehicle crashes are the results of a combination of infl uencing factors including the driving enviroment. This paper looks into the driving environment factors in pedestrian crashes injury levels on road links in Jakarta and the surounding cities which contribute to the city traffi c generation. The vehicle-pedestrian accident data used were obtained from the 2016 Indonesian national police accident database covering 4,646 pedestrian accidents on road links from Jakarta, Depok, Tangerang Selatan, Tangerang and Bekasi, Indonesia. Various factors were analyzed including crash level severity, month of occurrence, weather condition, lighting condition, road function, road class, road type, road surface condition and road status. As injury levels were categorized into slight injury, severe injury and fatal injury and it was assumed that the dependent variables which were crash injury levels could not be perfectly predicted from the independent variables, Multinomial logistic regression (MNL) was used in the analysis to predict the probability of different categories of dependent variables. It was found that the relative risks of pedestrian accident risks factors changed with different categories both in terms of fatal and severe injuries. One of the fi ndings shows that the risk of having severe injuries would decrease by 40.2% on national roads, by 70.5% on provincial roads and by 53.5% on urban roads. The results can be expected to be referred to in the improvement of pedestrian safety level and in the development of related measures.

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Section: Resultssupporting

confidence: 84%

Analyzing driving environment factors in pedestrian crashes injury levels in Jakarta and the surrounding cities

Siregar¹,

Sumabrata²,

Kusuma³

et al. 2019

J Appl Eng Science

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show abstract

“…The road features of segment length, IRI, and gradient and the geometric factors demonstrated the greatest importance in explaining the change in all accidents and fatal accidents. This finding is in line with that of Siregar et al (2015), which concluded that the road geometry of segments was the underlying cause of accidents involving heavy vehicles.…”

Section: Variable Importance Analysissupporting

confidence: 91%

Predicting the Segment-Based Effects of Heterogeneous Traffic and Road Geometric Features on Fatal Accidents

Siregar¹,

Tjahjono²,

Yusuf³

2022

IJTech

Self Cite

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Inter-urban roads in Indonesia are characterized mainly by distinct road geometry and heterogeneous traffic features. The accident database from the Republic of Indonesia National Traffic Police recorded a substantial number of fatal accidents and fatalities along inter-urban roads. This study aimed to analyze the effects of traffic heterogeneity and road geometry features on fatal accidents along inter-urban roads in South Sulawesi, Indonesia. Segment-based accident analysis was adopted to minimize bias due to the large standard deviations of road lengths. Vehicle-specific speeds, speed standard deviations, and volumes of six vehicle categories, road surface condition, and road geometry were the classified predicting factors. A machine learning technique was adopted to produce predictions of the classification problem. A total of 1,068 road segment observations from 2013-2016 were used to build and validate the model. Model generalization was carried out using the out-of-sample 2019 data. With 26 potential predictors, three machine learning techniques based on the ensembles of regression trees were used to avoid removing potential predictors altogether. The results indicate that road-related features show the greatest importance in predicting the number of fatal accidents. Among the speed features, the average speed of angkots and speed standard deviation of motorcycles showed the greatest importance. The average daily traffic (ADT) of pickups had the greatest importance among other vehicle-specific ADTs.

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“…The improvement scheme is expected to prevent conflict potential, in particular the serious conflicts, from occurring as well as improve the safety level of the intersection. Changes in road design features can be expected to change the patterns in traffic interactions, which will lead to the decrease in the probability of accident occurrences [11].…”

Section: Resultsmentioning

confidence: 99%

Near-miss accident analysis for traffic safety improvement at a ‘channelized’ junction with U-turn

Siregar¹,

Agah²,

Hidayatullah³

2018

Int. J. SAFE

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A near-miss is an unplanned event that can precede events in which a loss or injury could occur. Therefore, it is an indicator leading to an accident. Near-miss analysis does not look at what happened but look into what could have happened. Serious conflicts are the result of a breakdown in the interaction between the road user, environment and vehicle, which leads to traffic accidents. As the similarity between accidents and serious conflicts is striking, accidents can basically be prevented by isolating and handling the conflicts potentials. The Swedish Traffic Conflict analysis of near-miss accidents is adopted in this study to improve the traffic safety of a channelized junction with U-turn at LentengAgung, Jakarta. The junction is a two-way junction with a wide median and an island. The location has been indicated as an accident-prone location with high conflict rates. A set of traffic video-recordings employing a number of surveyors at different points of observations were carried out on-site to obtain real near-miss accidents. Prior to the survey, surveyors practiced judging vehicles running speeds until they reached a certain maximum error of judgment. Evasive actions such as braking, swerving and accelerating were recorded, and actions were classified into serious and non-serious conflicts based on the time-to-accidents and speeds. The results of the analysis show that almost all of the total recorded conflicts fall in the category of serious conflicts. An improvement scheme of the junction with reduced potential traffic conflicts is proposed, which can be expected to lower the accidents occurrences.

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Remedial Safety Treatment of Accident-Prone Locations

Cited by 4 publications

References 0 publications

Analyzing driving environment factors in pedestrian crashes injury levels in Jakarta and the surrounding cities

Analyzing driving environment factors in pedestrian crashes injury levels in Jakarta and the surrounding cities

Predicting the Segment-Based Effects of Heterogeneous Traffic and Road Geometric Features on Fatal Accidents

Near-miss accident analysis for traffic safety improvement at a ‘channelized’ junction with U-turn

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