Assessing the Safety Effects of Expressway Managed Lane for Autonomous Bus Using Traffic Simulation

정정호,; 박준영,; 오철,

doi:10.7470/jkst.2020.38.1.058

Cited by 5 publications

(1 citation statement)

References 8 publications

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“…In a review of studies that have implemented the driving behavior of autonomous vehicles using VISSIM, the input variables proposed in Atkins (2016) [25] have been used in many papers [8,26,27]. Since the autonomous vehicles in this study are Lv.4 or higher, we used the input variables for Lv.4 autonomous vehicles presented in Atkins (2016) [25] as shown in Table 3, and set CC2, CC4, CC5, and CC6, which reflect human behavior, to zero [28].…”

Section: Setting Autonomous-vehicles (Avs) Input Variablesmentioning

confidence: 99%

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: Setting Autonomous-vehicles (Avs) Input Variablesmentioning

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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Driving Safety Evaluation of Mixed Car-Following Situations by Autonomous and Manual Vehicles at Urban Interrupted Road Facilities

Lee,

Jo,

Kim

et al. 2024

Transportation Research Record: Journal of the Transportation R

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In the early stages of the development of autonomous driving technology, autonomous vehicles (AVs) and manually driven vehicles (MVs) will both be present on the roads, and the interaction of AVs and MVs will affect driving safety. This study aims to evaluate driving safety for car-following scenarios involving AVs and MVs on urban roads and to identify the driving safety vulnerability sections for each road. In this study, the AV behavior control algorithm and the urban interrupted road were implemented using SCANeRTM, and longitudinal, lateral, and inter-vehicle driving safety indicators were derived. As a result of the analysis, the driving safety of the AV-AV pair was the highest in all safety indicators, and the mixed pair (AV-MV) was safer than the MV-MV pair. The driving safety evaluation index for each analysis section was analyzed by the rate of change. As a result of analysis of variance, the null hypothesis that the section was the same in all mixed pairs of evaluation indicators was rejected. Post hoc analysis shows that the section with the greatest difference from the straight line was selected as a vulnerable area. As a result of the post hoc analysis, the non-signal intersection was analyzed as the most vulnerable area in the case of the mixed pair. Using this, it is possible to select a driving safety vulnerability section when AVs and MVs are mixed on actual urban roads.

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Evaluation of managed-lane operation plan for autonomous vehicles

Park

Yang

Park

et al. 2023

Proceedings of the Institution of Civil Engineers - Transport

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Autonomous driving technology, in which cars recognize their surroundings and drive via mechanical control, has attracted much attention. However, before the introduction of autonomous driving technology, there will be a mix of autonomous and non-autonomous vehicles, requiring a traffic operation management strategy to ensure the safety and operational efficiency of mixed traffic flow. In response, an operation plan is proposed to design and operate a managed lane to minimize friction between autonomous and non-autonomous vehicles in the commercialization phase of autonomous vehicles. To evaluate the autonomous vehicle managed lane operation strategy, safety, operation efficiency, and environment effectiveness measurements were derived by conducting a simulation analysis using VISSIM. And then, a value function was developed that reflects the three measurements and their importance weighting values. Using this approach, this paper provides a strategy of optimal autonomous vehicle managed lane operation that can increase operational efficiency and safety in expressway on/off-ramp areas.

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Assessing the Safety Effects of Expressway Managed Lane for Autonomous Bus Using Traffic Simulation

Cited by 5 publications

References 8 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

Driving Safety Evaluation of Mixed Car-Following Situations by Autonomous and Manual Vehicles at Urban Interrupted Road Facilities

Evaluation of managed-lane operation plan for autonomous vehicles

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