Estimating the Effects of Freeway Weaving Section Length on Level of Service Based on Microsimulation

Lee, Ju‐Yeon; Lee, Euntak; Lee, Seungjun; Kim, Taewan; Son, Bongsoo

doi:10.1177/03611981231165019

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…Research on traffic management for vehicles has shown that genetic algorithms are highly effective for calibrating and validating networks [13,14], and genetic algorithms have been shown to be particularly effective for analyzing traffic characteristics, in terms of safety, operational efficiency, and environmental performance [15,16].…”

Section: Related Workmentioning

confidence: 99%

“…The third step is to examine the convergence conditions of the impact measures and select the combination of input variables that gives the best impact measure values. The convergence conditions of the impact measures are 0.05 or less for MAPE and RMSPE and 5 or less for the GEH used in traffic analysis models, and if the conditions converge, the level of simulation is considered reasonable [16]. If the convergence condition is not met, a new combination is generated and returned to the second step until the convergence condition is met.…”

Section: Optimizing Vissim Input Variables With Genetic Algorithmsmentioning

confidence: 99%

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Assessing Traffic-Flow Safety at Various Levels of Autonomous-Vehicle Market Penetration

Shin,

Cho,

Lee

et al. 2024

Applied Sciences

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This study analyzes the impact of autonomous-vehicle (AV) market-penetration rates on traffic-flow safety using a genetic algorithm. We set up a microscopic traffic-simulation scenario on a 640 m section of the US I-101 freeway using VISSIM, a microscopic traffic-simulation software. The results of analyzing the number of conflicts according to the introduction rate of autonomous vehicles showed that the number of conflicts increased as the introduction rate increased up to 30%, and then decreased from 40% or more. In this study, it was assumed that autonomous vehicles can avoid dangerous situations, so it is judged that this is the result of an increase in the traffic volume of autonomous vehicles and a decrease in the traffic volume of conventional vehicles. When planning an exclusive lane for autonomous vehicles, it is judged that it is desirable to install two exclusive lanes on the left side until the introduction rate of autonomous vehicles reaches 30%. When the introduction rate of autonomous vehicles is 40–90%, the risk of accidents between autonomous vehicles and conventional vehicles decreases, and the traffic volume of autonomous vehicles is higher than that of conventional vehicles. Therefore, it is judged that it is desirable to operate a mixed road where autonomous vehicles and conventional vehicles can drive together rather than operating an exclusive lane for autonomous vehicles.

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Section: Related Workmentioning

confidence: 99%

Section: Optimizing Vissim Input Variables With Genetic Algorithmsmentioning

confidence: 99%

Assessing Traffic-Flow Safety at Various Levels of Autonomous-Vehicle Market Penetration

Shin,

Cho,

Lee

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

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Study of Urban Arterial Road Off-Ramp Configuration in Highway Municipal Reconstruction

Yang,

Feng,

et al. 2024

Transportation Research Record: Journal of the Transportation R

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To reduce traffic congestion and improve the overall traffic capacity of roads, the municipal reconstruction of arterial roads from high-grade highways often involves setting up auxiliary roads on both sides of the road. This paper analyzes the existing methods of determining the configuration of urban arterial road off-ramps and proposes a novel design method, includes adding a “waiting for merging” section. Based on the traffic flow characteristics of the main roads, auxiliary roads, as well as off-ramps, second-stage deceleration theory and the insertable gap theory are applied. Considering the worst-case of diverted vehicles, a calculation model for the length of the urban arterial road off-ramps is proposed and utilized to calculate the advisory values for each segment of the off-ramps. Taking the reconstruction of an expressway in Hubei Province, China, as a case study, Vissim traffic simulation software was used to compare the proposed method with the traditional design method under four different traffic volumes. The results show that the proposed design method greatly improves the overall traffic capacity of roads compared with the traditional method, with a reduction of approximately 40% and 60% in delay time and queue length for the overall traffic, respectively. Furthermore, the research results can provide direct and effective design solutions and a basis for decision-making for setting the length of main and auxiliary road off-ramps.

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Median U-Turn Intersection Critical Parameter Research and Operational Performance Evaluation

Zhao,

Liu,

et al. 2024

Applied Sciences

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As one of the unconventional intersection designs, the median U-turn (MUT) intersection design has been confirmed to have the potential to improve intersection efficiency and produce lower vehicle delays, and it has been widely applied to many urban networks. Most existing studies have successfully evaluated the operational performance of MUT intersections by analyzing the overall traffic flow, particularly for intersection delay and capacity. However, the impact of the critical parameters and behavior of individual vehicles in MUT intersection operations has not been adequately studied. These limitations cannot provide a complete and objective evaluation of MUT intersections. Therefore, a comprehensive cellular automata model is proposed to simulate vehicle dynamic variations, considering road channelization information and vehicle random movements. This model will be compared to the VISSIM model to validate rationality by using field data, and it shows a good agreement between the simulation results of both models. In addition, sensitive experiments reveal that properly adjusting the elements, including the separation distance, the proportion of left-turn vehicles, and green phase percentage, can improve the operation of MUT intersections to varying degrees. By appropriately improving intersection features and conducting reasonable evaluations, the overall performance and sustainability of the MUT intersections in Xi’an city can be enhanced. Finally, this paper offers a valuable guideline for the evaluation and modeling strategies of MUT intersections.

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Estimating the Effects of Freeway Weaving Section Length on Level of Service Based on Microsimulation

Cited by 3 publications

References 17 publications

Assessing Traffic-Flow Safety at Various Levels of Autonomous-Vehicle Market Penetration

Assessing Traffic-Flow Safety at Various Levels of Autonomous-Vehicle Market Penetration

Study of Urban Arterial Road Off-Ramp Configuration in Highway Municipal Reconstruction

Median U-Turn Intersection Critical Parameter Research and Operational Performance Evaluation

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