Modelling the saturation flow rate for continuous flow intersections based on field collected data

Gao, Xing; Zhao, Jing; Wang, Meng

doi:10.1371/journal.pone.0236922

Cited by 5 publications

(4 citation statements)

References 19 publications

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“…Traffic data are naturally mobile, leading to the saturation of neighboring nodes with high similarity over time [30]. Hence, a saturation-based node-partitioning algorithm is employed to divide EPRs into shards with determined centers.…”

Section: Traffic-data-based Vibration Sharding Mechanismmentioning

confidence: 99%

Cache Optimization Methods Involving Node and Content Sharding of Blockchain in Internet of Vehicles

Zhao,

Ding

2024

Electronics

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Blockchain stands out in addressing the data security requirements of the Internet of Vehicles. However, blockchain has storage pressure that cannot be met by most existing nodes. The emergence of Mobile Edge Computing allows nodes closer to the users to undertake the caching and computation process. Although sharding can alleviate the storage pressure on blockchain nodes, frequent cross-shard communication can affect the overall performance of the blockchain. In this paper, combining the features of traffic flow with strong regional similarity as well as inter-node correlation, we propose two sharding methods based on the current Vehicle–Infrastructure–Clouds three-tier service model. The proposed Content Sharding method can optimize node caching and improve the cache-hitting ratio. The proposed node sharding method can effectively reduce the system service delay by assisting nodes to cache the whole blockchain together across the network.

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Section: Traffic-data-based Vibration Sharding Mechanismmentioning

confidence: 99%

Cache Optimization Methods Involving Node and Content Sharding of Blockchain in Internet of Vehicles

Zhao,

Ding

2024

Electronics

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“…These factors encompass intersection geometry [32], grade [33], lane width and markings [34,35], vehicle composition [36], left-and right-turning vehicles [37], pedestrian and bicycle activity [38], signal characteristics [39], weather conditions [40], signal countdown devices [41] and autonomous vehicles [31]. In addition, it has been reported that the saturation flow rate is affected by drivers' lanechanging behavior as they approach an intersection [38,42,43].…”

Section: Literature Reviewmentioning

confidence: 99%

Understanding the Determinants of Lane Inefficiency at Fully Actuated Intersections: An Empirical Analysis

Karabulut,

Ozen,

Altintasi

2024

Sustainability

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As urban traffic challenges intensify, the growing interest for fully actuated control systems in intersection management is on the rise due to their capacity to adapt to dynamic traffic demands. These systems play a crucial role in sustainable traffic solutions, significantly reducing delays and emissions and enhancing overall system efficiency. The optimal performance of these systems relies on effectively facilitating vehicle discharge at the saturation flow rate throughout the green period. This study introduces a new parameter, lane inefficiency, evaluating vehicle discharge effectiveness by comparing saturation flow rate with instantaneous discharge for each green period. It provides a comprehensive assessment of green utilization for specific lanes. This study also explores the impact of signal control system parameters and traffic flow characteristics on lane inefficiency using principal component analysis (PCA) and multiple linear regression models. This approach holistically evaluates how both signal control system and traffic flow parameters collectively influence efficient green period utilization. The findings emphasize the impact of critical factors on lane inefficiency, including green time, the proportion of total unused green time to green time, total unused green time, the percentage of heavy vehicles in departing traffic, the ratio of effective green time to cycle time, the total time headways of the first four vehicles, and queue length. Decision makers need to pay due attention to these parameters to enhance intersection performance and foster a more sustainable urban transportation network.

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“…In addition, some researchers suggested unconventional intersection designs that are different from conventional intersections in order to maximize the potential of intersections. Common designs for unconventional intersections include median U-turn intersections (MUTI) (Carter et al, 2005;Liu et al, 2007), cross-displacement left-turn intersections (Sayed et al, 2006;Esawey and Sayed, 2011), and continuous flow intersections (CFI) (You et al, 2013;Wu et al, 2016;Gao et al, 2020). The main idea of these designs is to optimize the left-turning traffic flow by establishing dynamic lanes or downstream median openings to adjust the traffic organization of left-turning vehicles, thereby eliminating the traffic conflicts between left-turning and through traffic, reducing vehicle delays, and enhancing the intersection capacity.…”

Section: Introductionmentioning

confidence: 99%

Study on the location of unconventional outside left-turn lane at signalized intersections based on an entropy method

Liu

Shao

Yang

et al. 2022

Front. Environ. Sci.

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A good air environment and smooth traffic environment are important for smart city building and sustainable development. However, with the increase of urban population and traffic volume, traditional intersections often face serious congestion problems, which makes vehicle emissions increase greatly and seriously threatens urban air quality. To alleviate this problem, the unconventional design with an outside left turn lane on the right side of the through lanes has been widely used in China. However, there is little research and guidance on the location of unconventional outside left-turn lane settings. Therefore, this paper collects traffic data from a signalized intersection with unconventional outside left-turn lane design in Xi’an, and evaluates and analyzes the outside left-turn lane design at different locations using the entropy weight method (EWM). The simulation of the outside left-turn lane with different setting locations is performed in VISSIM and six indexes are analyzed. Finally, EWM is innovatively used to calculate the weights of the adopted indexes to achieve a comprehensive evaluation of different location schemes under different traffic scenarios. It was found that the differences in vehicle emissions were as high as 54.7% with different locations of the outside left-turn lane design, and the vehicles operated with different efficiencies. The unconventional design with the outside left-turn lane in the sub-outermost lane is suitable for most traffic conditions, while the design with the outside left-turn lane in the outermost lane performs better at high traffic volumes. The conventional outside left turn lane design is suitable for light traffic.

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Modelling the saturation flow rate for continuous flow intersections based on field collected data

Cited by 5 publications

References 19 publications

Cache Optimization Methods Involving Node and Content Sharding of Blockchain in Internet of Vehicles

Cache Optimization Methods Involving Node and Content Sharding of Blockchain in Internet of Vehicles

Understanding the Determinants of Lane Inefficiency at Fully Actuated Intersections: An Empirical Analysis

Study on the location of unconventional outside left-turn lane at signalized intersections based on an entropy method

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