Lateral Placement of Vehicles on Horizontal Curves

Das, Vivek R.; Jayashree, M.; Rahul, S

doi:10.1016/j.trpro.2016.11.059

Cited by 7 publications

(3 citation statements)

References 5 publications

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“…Motorists were more likely to be non-compliant at horizontal road curves, perhaps due to motorists' poorer lane keeping behaviour at curves. A large body of research (see Das et al 2015 for a review of the literature) showed that vehicle position within traffic lanes varies at horizontal curves, and often drivers do not drive in a circular path when negotiating a horizontal curve.…”

Section: Discussionmentioning

confidence: 99%

Factors influencing noncompliance with bicycle passing distance laws

Debnath

Haworth

Schramm

et al. 2018

Accident Analysis & Prevention

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Many jurisdictions around the world have implemented laws to require a minimum distance when motor vehicles pass cyclists, but research into the factors influencing passing distances has produced inconsistent results, indicating the need for future research. This study examined the factors influencing motorists' compliance with a legislated bicycle passing distance rule in Queensland, Australia. Unlike the earlier studies, which used volunteer riders to record passing events, this study used a naturalistic study design to record passing events where none of the motorists or the cyclists were aware of being studied. As a result, this study captured the 'true' driving and riding behaviours during passing events. The likelihood of non-compliance was greater on higher (70-80 km/h speed limits) and lower (40 km/h) speed roads than 60 km/h roads, at curved road sections, and on roads with narrower traffic lanes. Rider characteristics (age, gender, helmet status, type of clothing, type of bicycle, and individual or group riding) had no statistically significant association with compliance status. The findings indicate that efforts to improve cyclist safety during overtaking events should focus on non-rider related factors, such as roadway infrastructure characteristics.

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Section: Discussionmentioning

confidence: 99%

Factors influencing noncompliance with bicycle passing distance laws

Debnath

Haworth

Schramm

et al. 2018

Accident Analysis & Prevention

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“…For example, information of lateral placement is helpful to identify the wheel positions of vehicles on a carriageway. Central tendency of wheel positions is used to locate the strained portions on the pavement (Das et al 2016). The information of lateral placement of different vehicles is a prerequisite for simulating a mixed traffic stream in a developing country where lane discipline is weakly followed (Mahapatra and Maurya 2015).…”

Section: Introductionmentioning

confidence: 99%

Estimating lateral placement and lane indiscipline of urban mixed traffic of a developing country: an ANN-assisted approach

Saini

Biswas

2021

Can. J. Civ. Eng.

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Information of lateral placement and lane indiscipline are useful in simulation of a mixed traffic stream and identifying the distressed portion of a pavement. In spite of these utilities, inadequate investigation was made to estimate the lateral placement of vehicles under prevailing traffic conditions. In a typical mixed traffic situation, vehicles having different static and dynamic characteristics take any lateral gap across the carriageway left empty by other surrounding vehicles and move in an untidy manner. It leads to variation in lateral placement of vehicles governed by the subject vehicle type. This paper explores the potential factors that influence lateral placement of vehicles and presents an Artificial Neural Network based approach to quantify lateral placement and lane indiscipline in context of undivided urban roads. Further, sensitivity analysis revealed how different traffic parameters like traffic volume, traffic composition and directional split influence lateral placement and lane indiscipline of a vehicle category.

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“…The possible reasons for that difference might include the changes (braking, accelerating) in the speed of the vehicles in the curve and alignment regions and lateral shifts of vehicles. Moreover,Das et al (2016) reported that vehicle of placement in curve was different when compared to alignment, and the radius of curve also affected the lateral position of the vehicle. PBC values were observed to be lower in spring than in other season.…”

mentioning

confidence: 99%

Potential Impacts of Weather and Traffic Conditions on Road Surface Performance in Terms of Forest Operations Continuity

Akgül¹,

Akburak²,

Yurtseven³

et al. 2019

Appl. Ecol. Env. Res.

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The aim of this study was to evaluate the changes in forest road pavement bearing capacity (PBC) depending on meteorological conditions, traffic effects and horizontal curve parameters for a year on a monthly basis. Within this context, two different roads were investigated and measured with dynamic cone-penetrometer. The total number of the measurement points was 265 for traffic-restricted road (road no: 001-RN1) and 315 for open traffic road (road no: 005-RN2). In the study, three multiple regression models were developed to estimate PBC values on forest road. According to Model1, which was developed to estimate PBC values depending on vehicle traffic and on meteorological factors for alignment section of the RN2, the adjusted R 2 was found to be 0.635. In Model2 for the curve section of the RN2, the adjusted R 2 was found to be 0.711. Model3 for RN1 depending on meteorological factors demonstrated that the accuracy of PBC estimation had a high adjusted R 2 , which was 0.952. In conclusion, PBC values can be estimated at high accuracy. Furthermore, traffic load has a strong effect on PBC. On the other hand, temperature has an important negative effect on the variation in PBC on RN1.

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Lateral Placement of Vehicles on Horizontal Curves

Cited by 7 publications

References 5 publications

Factors influencing noncompliance with bicycle passing distance laws

Factors influencing noncompliance with bicycle passing distance laws

Estimating lateral placement and lane indiscipline of urban mixed traffic of a developing country: an ANN-assisted approach

Potential Impacts of Weather and Traffic Conditions on Road Surface Performance in Terms of Forest Operations Continuity

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