Highway safety analysis using geographic information systems

Castro, María; Iglesias, L.; Rodríguez-Solano, Roberto; Sánchez, Javier Solana

doi:10.1680/tran.2008.161.2.91

Cited by 19 publications

(6 citation statements)

References 6 publications

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“…Several models were developed over the past 50 years to estimate the operating speed of vehicles based on traffic flow and geometric characteristics [2]. Several studies have been done by using several types of tools to measure the 85th percentile of speed at the two-lane rural roads along the horizontal curves and tangents, which were based on speed limits and types of vehicles.…”

Section: Th Percentile Of Operating Speed Modelmentioning

confidence: 99%

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Crash model based on integrated design consistency with low traffic volumes (due to health disaster (COVID-19)/movement control order)

Prasetijo

Zhang

Jawi³

et al. 2020

Innov. Infrastruct. Solut.

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Malaysia is listed as one of Asia's developing countries with high-road accidents rate. The accident involves the most between the motorcyclist and other vehicles such as a passenger car which is 17 times safer than the motorcyclist. Current research reveals that the three major forms of incidents in Malaysia are single-motorcycle incidents, passenger car crashes and carsmotorcycles crash. In general, the lack of accuracy of road geometric design, traffic volumes and overlapping movements of vehicles was the main cause of road accidents in Malaysia, which caused drivers to make mistakes and errors due to road geometric characteristics and traffic environments. However, during our recent COVID-19 pandemic, the traffic volumes are relatively low in the whole country as the government announces the movement control order in March 2020. The country was almost completely lockdown (people and vehicles' movements were controlled). In contrast with the reduction of the traffic volumes, the number of crashes shows relatively high numbers. This phenomenon can be derived so that other factors cause vehicle crashes and fatalities should be considered. Several factors related to road geometric such as lane width, shoulder width, access point, curve length and tangent length are considered in developing profiles of operating speed for motorcycles and cars formed of tangents and curves. The analysis of the geometric factors and traffic environments took place at federal road F0050 from 21 to 25 km in Johor, Malaysia. This study was carried out using GPS (DG-200) where the data (vehicles tracked movements) on the continuous speed profiles used a current method of analysis to determine the profiles of road design consistency for motorcycles and cars. The profiles are used to measure the importance index of the integrated design consistency model of the road. The model depends on parameters such as the confine region of speed profiles, average speed, and velocity deviation standard of the profiles. Therefore, a special software of ACAD was used to build the profile of the consistency model. The design accuracy of the speed profile in traffic and safety assessments are affected by the integrated-consistency model. The highest number of accidents has been identified at 24 km at F0050 based on the area design consistency where poor design is the integrated quality consistency model for car and motorcycle. The study shows that crashes and fatalities are not fully affected by traffic volumes but road design performances and driving behaviors.

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Section: Th Percentile Of Operating Speed Modelmentioning

confidence: 99%

“…The design consistency of every road sections is based on Eqs. (1), (2) and (3). The equations are assessed for every road segment per km.…”

Section: Development Design Consistencymentioning

confidence: 99%

Crash model based on integrated design consistency with low traffic volumes (due to health disaster (COVID-19)/movement control order)

Prasetijo

Zhang

Jawi³

et al. 2020

Innov. Infrastruct. Solut.

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“…In this study, the operating speed on curves whose radius is greater than 100 m was predicted using the model of Castro et al [48] whereas the speed on curves with a smaller radius was derived according to Pérez Zuriaga [49]. The first model was adjusted on measurements from larger radius curves while the latter one was adjusted on smaller radius curves.…”

Section: Operating Speedmentioning

confidence: 99%

Reliability-Based Analysis of Sight Distance Modelling for Traffic Safety

Santos-Berbel

Essa

Sayed

et al. 2017

Journal of Advanced Transportation

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Sight distance is of the utmost importance for traffic safety. The consideration of three-dimensional (3D) available sight distance (ASD) in geometric design has been supported by several researchers. However, existing ASD estimation methods are two-dimensional (2D) in nature, which do not evaluate varying visibility conditions. This paper compares different methodologies of modelling the ASD. The ASD of 402 horizontal curves, located in twelve in-service two-lane rural highways, was analyzed. Three ASD estimation methods were used which include a 2D method and two different 3D methods. The ASD results obtained through 2D and 3D methodologies are compared. Also, the different conditions of the existing roadside features or geometric elements, under which the 3D ASD estimation is important, were identified. Next, reliability theory is utilized to evaluate the risk level (probability of noncompliance,Pnc) associated with limited sight distance for each ASD modelling method. The results of the comparison emphasized the importance of considering the 3D modelled sight distance when evaluating the associated risk either in highway design or during the service life. In addition, the results indicated that the ASD modelling approach can have a significant impact on the estimation of the safety of highway design.

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“…The most widely used such devices include traffic counters/classifiers and radar meters [2][3][4][5][6][7][8][9][10], although the use of laser devices is becoming increasingly more common [11][12][13][14]. Lasers allow the speed of a vehicle to be measured in a cheap and reliable manner by unequivocally identifying the vehicle that is being measured, the distance to the laser and whether the vehicle is travelling towards or away from the laser measurement device.…”

Section: Introductionmentioning

confidence: 99%