Lateral Placement Characteristics of U-Turning Vehicles: A Statistical Investigation

Khan, Tathagatha; Mohapatra, Smruti Sourava

doi:10.1007/s40890-019-0091-7

Cited by 8 publications

(5 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a preliminary, it was observed that ATT starts deceleration at 25 to 50 m upstream from the start of the MBMO. A similar observation was reported by Khan and Mohapatra ( 3 ). For this reason, road markings were made upstream of the MBMO with white paint at intervals of 5 m for a distance of 60 m for estimation of the possible slowdown section of ATT stream.…”

Section: Methodology Of the Studysupporting

confidence: 91%

“…Mid-block median opening (MBMO) is an uncontrolled location provided along a raised median, where vehicles can only take a U-turn and reverse their direction, in some cases to access attractions located in the vicinity ( 1 ). Raised medians are provided to segregate the opposing traffic and avoid head-on collisions ( 2 , 3 ). Operations at MBMOs are more complex compared with signalized intersections where signals are installed for guiding the traffic whereas no such arrangements are available at MBMOs.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Realistic Approach for Capacity Estimation of U-Turns Under Heterogeneous Traffic Condition

Khan,

Vivek,

Mohapatra

et al. 2023

Transportation Research Record: Journal of the Transportation R

Self Cite

View full text Add to dashboard Cite

The main purpose of the present study is to estimate U-turn capacity at mid-block median openings (MBMO). Estimation of U-turn capacity requires three key parameters, namely: conflicting traffic volume, critical gap, and follow-up time. Conflicting traffic volume has been estimated by introducing a novel parameter, namely, spatiotemporal conflicting factor. Critical gap has been estimated using five different methods: modified Raff method, Ashworth method, logit model, occupancy time method, and support vector machine technique. The follow-up time has been estimated directly from recorded videos. Subsequently, capacity has been estimated for different types of vehicles along with the U-turning stream capacity. The estimated capacity has been validated using field capacity, using Kyte’s method. Further, a suitable method for the estimation of critical gap in the Indian context has been determined. This study could be used as a guideline for the U-turn capacity estimation for efficient design and management of traffic at MBMO.

show abstract

Section: Methodology Of the Studysupporting

confidence: 91%

mentioning

confidence: 99%

Realistic Approach for Capacity Estimation of U-Turns Under Heterogeneous Traffic Condition

Khan,

Vivek,

Mohapatra

et al. 2023

Transportation Research Record: Journal of the Transportation R

Self Cite

View full text Add to dashboard Cite

show abstract

“…Zigzag style movement is generally observed for 2W drivers. 2W drivers habitually explore every available gap and try to squeeze between bigger size vehicles utilizing small gaps (9). This type of driving behavior is common in heterogeneous traffic conditions (5,34).…”

Section: Motivations Of the Studymentioning

confidence: 99%

“…Generally, in developed countries such as the United States and Canada, these uncontrolled MBMOs are controlled by stop or yield signs for giving priority to various movements. (8)(9)(10). But in India, different types of vehicles (two-wheelers [2W], three-wheelers [3W], cars, buses, slow-moving vehicles, and pedestrians) use the same road section simultaneously without any physical separation.…”

mentioning

confidence: 99%

Comparative Appraisal of Critical Gap Estimation Techniques in the Context of U-turning Vehicles

Khan

Vivek

Mohapatra

2021

Transportation Research Record: Journal of the Transportation R

Self Cite

View full text Add to dashboard Cite

Critical gap is a crucial factor for capacity estimation and safety evaluation at uncontrolled mid-block median openings (MBMOs). The U-turning vehicle makes a U-turn when a sufficient gap between two fast-moving vehicles is available in the approaching through traffic (ATT) stream. Even though, worldwide, temporal gaps are extensively used, the spatial gap is an important parameter that significantly affects minor street vehicles’ safety (U-turning vehicles in this study). The present research, undertaken in India, focuses on estimating the temporal and spatial critical gap of U-turning vehicles at uncontrolled MBMOs. The collected data were analyzed for six different types of U-turning vehicles at varying approaching through traffic volume (ATTV). For critical gap estimation, four different critical gap estimation techniques, namely, modified Raff method (MRM), Ashworth method, binary logit model (BLM) method, and occupancy time (OT) method were employed, separately. From the analysis, temporal and spatial critical gaps were observed to vary between different types of vehicle, and it was also observed to vary with ATTV. The critical gap values of this study were found to be smaller than the critical values reported in developed countries, signifying the aggressive driving nature of drivers in developing countries. A detailed appraisal of the different critical gap estimation methods has been carried out. From this analysis, the OT method was found to provide the closest critical gap values with the published literature compared with other methods. Lastly, the findings from the present study will be useful for capacity estimation and safety evaluation at MBMO.

show abstract

“…The nature of traffic in developing countries is heterogeneous with different types of vehicle, with varying physical and dynamic characteristics, using the same roads without any physical barrier; there is also an absence of lane discipline and a reversal of priority rules (1)(2)(3)(4)(5). Additionally, the standard safety guidelines on uncontrolled intersections is also not available.…”

mentioning

confidence: 99%

Identification of Spatial and Temporal Dilemma Zone at Mid-Block Median Openings: A Gap Acceptance Based Approach

Khan

Mohapatra

2022

Transportation Research Record: Journal of the Transportation R

Self Cite

View full text Add to dashboard Cite

A U-turn at a mid-block median opening (MBMO) is a complex maneuver. The U-turning vehicle has to find a suitable gap between two fast-moving vehicles in the approaching through traffic (ATT) stream and decide whether to accept or reject the available gap. Incorrect judgment of an available gap may lead to congestion or a collision between the U-turning vehicle and ATT. Frequently, U-turning vehicles are in a state of dilemma while deciding whether to reject or accept the available gap. Under these scenarios, the decision-making process is a challenging task for U-turning vehicles. This article thus aims to analyze the dilemma zone of U-turning vehicles at MBMO by collecting field data from 14 locations. The dilemma zone has been estimated using three methods: the cumulative distribution method; the binary logit method; and the support vector machine (SVM) method. The length and location of the dilemma zone have been observed to be influenced by different types of vehicle. The dilemma zone has been observed to shift away from the nose of the MBMO as the size of the vehicle increases. Furthermore, a practical yet straightforward equation has been also suggested for estimating the dilemma zone based on the composition of the ATT stream. The outcome of the present study will be beneficial in understanding the dilemma associated with a U-turning driver at an MBMO. The estimated dilemma zone boundary can be used further to develop a warning system in association with the intelligent transportation system for helping U-turning vehicles complete the U-turn movement safely.

show abstract

Lateral Placement Characteristics of U-Turning Vehicles: A Statistical Investigation

Cited by 8 publications

References 10 publications

Realistic Approach for Capacity Estimation of U-Turns Under Heterogeneous Traffic Condition

Realistic Approach for Capacity Estimation of U-Turns Under Heterogeneous Traffic Condition

Comparative Appraisal of Critical Gap Estimation Techniques in the Context of U-turning Vehicles

Identification of Spatial and Temporal Dilemma Zone at Mid-Block Median Openings: A Gap Acceptance Based Approach

Contact Info

Product

Resources

About