Evaluation of average travel delay caused by moving bottlenecks on highways

Wei, Xueyan; Xu, Chengcheng; Wang, Wei; Yang, Menglin; Ren, Xiaoma

doi:10.1371/journal.pone.0183442

Cited by 9 publications

(3 citation statements)

References 27 publications

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“…Although high speed is widely regarded as one of the primary causes of accidents [34], some participants pointed out that lower speeds resulting from various factors, such as tra c, speed reduction measures, infrastructure issues, and worn-out vehicles, can create moving bottlenecks or reduce average travel speed, leading to improper compensatory actions by drivers. Studies have indicated that this situation results in longer travel times, increased tra c con icts, and a higher rate of accidents [35,36]. The interaction of these conditions with loading problems and obligatory non-driving activities in cargo and public transportation may lead to driver fatigue, rushing, or frustration that may result in aggressive driving [37].…”

Section: Discussionmentioning

confidence: 99%

The Silent Contributors: A Qualitative Study to Bridge the Gap between Driver Behavior and Systemic Issues Interactions to Crashes

Mortazavi,

Sadeghi-Bazargani,

Charkhabi

et al. 2024

Preprint

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Road Traffic Crashes (RTCs) disproportionately impact Low and Middle-Income Countries (LMICs). Current interventions in LMICs primarily target road user behavior, neglecting systemic issues and casting drivers as mere contributors. Given the unique cultural, financial, and social intricacies in LMICs, this study aims to explore the latent causes of RTCs, prioritizing drivers' experiences and encompassing insights from various traffic system components. Applying a qualitative approach, data were collected through 46 semi-structured interviews with 38 participants, including drivers and experts from traffic-related organizations. Content analysis identified ten themes as contributing to driving errors. Direct factors included fatigue influenced by economic and occupational conditions, distraction from internal and external sources, reckless behaviors influenced by traffic culture and environment, and Inadequate driving skills due to training. Macro-scale challenges in road infrastructure, vehicle quality, education, and accident investigations were highlighted. The lack of a centralized traffic safety authority and a predominant focus on penalizing drivers overshadowed systemic issues. The study offers valuable insights into the complex interplay of factors contributing to driving errors in LMICs, advocating for a paradigm shift towards holistic, systemic interventions beyond individual driver behavior and challenging the conventional blame-centric view associated with driving errors.

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Section: Discussionmentioning

confidence: 99%

The Silent Contributors: A Qualitative Study to Bridge the Gap between Driver Behavior and Systemic Issues Interactions to Crashes

Mortazavi,

Sadeghi-Bazargani,

Charkhabi

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The capacity could reflect multiple properties of the model, and it is the most sensitive to route choice behavior. If the capacity of the VISSIM model is similar to the collected data, then the VISSIM model accuracy could be confirmed, and the VISSIM model could be used to evaluate the improvement of the design for traffic flow [59]. The capacity can be calculated by Eq 7: where C denotes the ideal capacity (veh/h).…”

Section: Datamentioning

confidence: 99%

Evaluating the sustainable traffic flow operational features of an exclusive spur dike U-turn lane design

Shao

Han

et al. 2019

PLoS ONE

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The traditional U-turn design has significantly improved traffic operations for relieving traffic congestion. However, the U-turn diversion and merge segments still cause traffic conflicts and delays. In this paper, an exclusive spur dike U-turn lane (ESUL) is proposed with the aim of addressing the disadvantages of the traditional U-turn design. ESUL provides a separate U-turn lane to diverge, decelerate, U-turn, accelerate and merge without interacting with through traffic. The effectiveness of ESUL is demonstrated through a field data investigation, simulation and analysis with VISSIM software. The proposed design is evaluated in terms of three parameters: travel time, delay and number of stops. Compared to the traditional U-turn design, ESUL can reduce travel time by 29.15%, delay by 66.70% and the number of stops by 100% at most. The results showed that ESUL has better performance than the traditional U-turn design and could be implemented to reduce traffic congestion and the potential hazards caused by U-turn maneuvers.

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“…The difference between the time for free-flowing traffic and the actual time taken is called the travel time delay [6]. Traffic bottlenecks increase this delay [7]. Traffic bottlenecks can be categorized as stationary or moving [8,9].…”

Section: Introductionmentioning

confidence: 99%

Modeling Sustainable Traffic Behavior: Avoiding Congestion at a Stationary Bottleneck

Badshah

Khan²,

Gulliver³

et al. 2022

Civ Eng J

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Sustainable traffic behaviour is increasing in importance as traffic volume rises due to population growth. In this paper, a model for traffic flow at a stationary bottleneck is developed to determine the parameters that cause congestion. Towards this goal, traffic density, speed, and delay were acquired during peak and off-peak periods in the morning and afternoon at a stationary bottleneck in Peshawar, KPK, Pakistan. The morning and afternoon peak periods have high densities, low speeds, and considerable delays. Regression models are developed using this data. These results indicate that there is a linear relationship between density and time at the stationary bottleneck and a negative linear relationship between density and speed. Thus, an increase in density increases the time delay and reduces the speed. I comprehensive traffic delay model is characterized by a stationary bottleneck. The Kolmogorov-Smirnov (KS) test and P-values were used to identify the best-fit distribution for speed and density. The binomial and generalized extreme values are considered the best fits for density and speed. The results presented can be used to develop accurate simulation models for stationary bottlenecks to reduce congestion. Doi: 10.28991/CEJ-2022-08-11-02 Full Text: PDF

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Evaluation of average travel delay caused by moving bottlenecks on highways

Cited by 9 publications

References 27 publications

The Silent Contributors: A Qualitative Study to Bridge the Gap between Driver Behavior and Systemic Issues Interactions to Crashes

The Silent Contributors: A Qualitative Study to Bridge the Gap between Driver Behavior and Systemic Issues Interactions to Crashes

Evaluating the sustainable traffic flow operational features of an exclusive spur dike U-turn lane design

Modeling Sustainable Traffic Behavior: Avoiding Congestion at a Stationary Bottleneck

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