Impacts of Automated Vehicles on Freeway Traffic-flow

Park, Inseon; Lee, Jong-deok; Lee, Jae Yong; Hwang, Keeyeon

doi:10.12815/kits.2015.14.6.021

Cited by 9 publications

(4 citation statements)

References 1 publication

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“…However, there is still a debatable point. Some studies report that traffic flow will become worse with a low or medium AV penetration rate, between around 20% and 70% [5,7,8,15,28]. e studies considering vehicles on highways with ACC emphasized that AVs would make it possible to reduce headway between vehicles and that this will lead to an improvement in traffic flow and even road capacity.…”

Section: Discussionmentioning

confidence: 99%

“…However, with low penetration of AVs, there are no available definitive characteristics of traffic made up mainly of AVs. As part of the mainstream, AVs are still being tested, so a microscopic modeling approach is useful as it reflects detailed and different behaviors between AVs and HDVs in a model [8,[27][28][29][30][31][32][33].…”

Section: Literature Reviewmentioning

confidence: 99%

“…AVs can drive accurately on roads and with better sensing ability than humans. Specifically, they require a much smaller gap, or shorter headway, than human-driven vehicles (HDVs), since they have more information about the surrounding driving environment and a slower reaction time delay [5][6][7][8]. Vehicle-to-vehicle (V2V) communication will allow vehicles to form platoons [6,9].…”

Section: Introductionmentioning

confidence: 99%

“…However, there are still gaps in the estimation of improvement by AVs depending on road categories and the relative proportion of AVs and HDVs. According to previous studies, AVs can improve traffic flow [10][11][12], consequently, allowing increased road capacity [13,14] of up to 50% in uninterrupted flow [5,6,8]. However, another study reports that the improvement will not be significant (or could even worsen) until a penetration rate of 40% is achieved [15].…”

Section: Introductionmentioning

confidence: 99%

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The Impact of Automated Vehicles on Traffic Flow and Road Capacity on Urban Road Networks

Park

Byun²,

Kim

et al. 2021

Journal of Advanced Transportation

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Automated vehicles (AVs) are believed to have great potential to improve the traffic capacity and efficiency of the current transport systems. Despite positive findings of the impact of AVs on traffic flow and potential road capacity increase for highways, few studies have been performed regarding the impact of AVs on urban roads. Moreover, studies considering traffic volume increase with a mixture of AVs and human-driven vehicles (HDVs) have rarely been conducted. Therefore, this study investigated the impact of gradual increments of AV penetration and traffic volume on urban roads. The study adopted a microsimulation approach using VISSIM with a Wiedmann 74 model for car-following behavior. Parameters for AVs were set at the SAE level 4 of automation. A real road network was chosen for the simulation having 13 intersections in a total distance of 4.5 km. The road network had various numbers of lanes from a single lane to five lanes in one direction. The network consists of a main arterial road and a parallel road serving nearby commercial and residential blocks. In total, 36 scenarios were investigated by a combination of AV penetrations and an increase in traffic volumes. The study found that, as AV penetration increased, traffic flow also improved, with a reduction of the average delay time of up to 31%. Also, as expected, links with three or four lanes had a more significant impact on the delay. In terms of road capacity increase, when the penetration of AVs was saturated at 100%, the road network could accommodate 40% more traffic.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Impact of Automated Vehicles on Traffic Flow and Road Capacity on Urban Road Networks

Park

Byun²,

Kim

et al. 2021

Journal of Advanced Transportation

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Analyzing Traffic Impacts of the Utilitarian Robotic Autonomous Vehicle

Im¹,

Kim²,

Lee³

et al. 2017

J. Korea Inst. Intelligent. Transp. Syst.

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Driver behaviour and experience around automated freight vehicle platoons

Yang

Park

Abdel-Aty

2023

Proceedings of the Institution of Civil Engineers - Transport

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Autonomous vehicles are becoming more common, and the market size is growing. In the truck industry, deploying a platoon of autonomous vehicles is emerging as a response to existing safety and environmental problems. However, before autonomous technology can be applied to all vehicles in a traffic flow, mixed traffic containing both autonomous and non-autonomous vehicles is inevitable. Therefore, this study analysed the behaviour of non-autonomous vehicles at the inflow and outflow of highways to understand platoon operation management in mixed traffic conditions by using driving simulator and NASA-TLX survey. Unlike previous studies, this study considered an environment in which freight vehicle platoons occupy a designated lane and examined the vehicle driving characteristics and driver psychology as non-autonomous vehicles entered and exited the highway. Statistical methods such as ANOVA and MANOVA were used to analyse the difference according to the situation. As a result, in entry, platoon had an effect to driver and especially platoon size had a larger effect than inter-platoon spacing. However, among drivers with driving experience above a certain level, the platooning parameters did not have significant effects on the driving. The results of this study provide basic information about the operation and management of a platoon of autonomous vehicles on mixed-traffic highways.

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Impacts of Automated Vehicles on Freeway Traffic-flow

Cited by 9 publications

References 1 publication

The Impact of Automated Vehicles on Traffic Flow and Road Capacity on Urban Road Networks

The Impact of Automated Vehicles on Traffic Flow and Road Capacity on Urban Road Networks

Analyzing Traffic Impacts of the Utilitarian Robotic Autonomous Vehicle

Driver behaviour and experience around automated freight vehicle platoons

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