Assessment of connected and autonomous vehicles impacts on traffic flow through microsimulation.

Paterlini, Bruno Scarano

doi:10.11606/d.3.2020.tde-09032021-090209

Cited by 8 publications

(12 citation statements)

References 49 publications

(118 reference statements)

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“…In [98], Authors analyse the impact of the market penetration rate of CAVs. Wiedemann 99 is used for all of the vehicles, applying default VISSIM® parameters for the human-driven ones, while using the values adopted in [119] for the automated cars. The main parameters which have been reduced for CAVs with respect to conventional vehicles are the standstill distance (so the desired distance between stopped vehicles) and the headway time (i.e.…”

Section: Car-following Modelsmentioning

confidence: 99%

Roundabouts: Traffic Simulations of Connected and Automated Vehicles—A State of the Art

Campi,

Mastinu,

Previati

et al. 2024

IEEE Trans. Intell. Transport. Syst.

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The paper deals with traffic simulation within roundabouts when both "connected and automated vehicles" (CAVs) and human-driven cars are present. The aim is to present the past, current and future research on CAVs running into roundabouts within the Cooperative, Connected and Automated Mobility (CCAM) framework. Both microscopic traffic simulations and virtual reality simulations by dynamic driving simulators will be considered. The paper is divided into five parts. At first, the literature is analysed using the Systematic Literature Review (SLR) methodology based on Scopus database. Secondly, the influence of CAVs on roundabout-specific design features and configuration is analysed. Gap-acceptance models used to define the capacity of the roundabout, one of its most important key performance indicators, are also presented. Third, the most common simulation software are described and analysed in terms of traffic demand implementation. Then the communication approaches and path management algorithms are studied. An example is proposed on the integration of microscopic traffic simulations and dynamic driving simulators virtual reality simulations. Finally, car following models suitable for roundabout traffic are discussed. There is still a gap between simulations and actual experience. There are reasonable doubts on how modelling and optimizing CAVs' behaviour into roundabouts in view of CCAM. It seems that Cooperative, Connected and Automated Vehicles (CCAVs), more than simply Connected and Automated Vehicles (CAVs), could optimise traffic flow, safety and driving comfort within the roundabout. A very promising technology for traffic simulation within the roundabout seems the one based on dynamic driving simulators.

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Section: Car-following Modelsmentioning

confidence: 99%

Roundabouts: Traffic Simulations of Connected and Automated Vehicles—A State of the Art

Campi,

Mastinu,

Previati

et al. 2024

IEEE Trans. Intell. Transport. Syst.

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“…There are many functionalities in VISSIM 11 or later versions to explore the C/AVs (Sukennik 2018). Platoon building, signal influence, V2V, and V2I connectivity are all included in VISSIM 2020 and are implemented both universally (using GUI) and exclusively (using COM) (PTV 2011;Sukennik 2018;Atkins 2016). The Wiedermann 74 does not provide many options for customized modeling, so the standard method for modeling C/AVs can be to build modified versions of the Wiedermann 99 (Sukennik 2018).…”

Section: Related Workmentioning

confidence: 99%

“…The C/AVs that resemble humans are a subset of traditional driving behaviors and can be acquired with the right legal framework to correspond with various autonomous driving modules. In order to improve the automation features in the VISSIM interface, some extensively created simulator-integral and user-defined parameters are completely dedicated to match the characteristics of AV and CAV (Sukennik 2018;Atkins 2016;Zeidler et al 2018;Toledo 2003;Bohm und Häger 2015). Additionally, numerous C/AV features are modeled using external script files.…”

Section: Related Workmentioning

confidence: 99%

“…These modules exhibit wildly disparate responses to roads and traffic. A safe driving module is not permitted to drop the safe distance below the authorized limits, however an aggressive driving module may have a smaller safe distance with increased acceleration, resulting in C/AVs that resemble humans (Zeidler et al 2018;Atkins 2016;Sukennik 2018).…”

Section: Introductionmentioning

confidence: 99%

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How Human Alike Connected Autonomous Vehicles Affect Traffic Conditions in Urban Environment?

Dinar,

Qurashi,

Papantoniou

et al. 2023

Preprint

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Different methodologies are being used to study the effects of autonomous vehicle (AV) in the mixed traffic indicating the interaction among autonomous and human-driven vehicles. Micro-scopic simulation tools are popular in such assessment as it offers scope to experiment in eco-nomical, robust, and optimistic way. Lack of reliable real-world data to calibrate and evaluate the connected autonomous vehicles (CAV) simulation model is a major challenge. One interesting methodology could be dealing the CAVs as conventional human driven vehicles and predict its possible characteristics based on the simulation inputs. The conventional human driven vehicles from real world, in this methodology, come to aid as benchmark to offer the measure of effective-ness (MoE) for the calibration and validation. For the three most common driving modules, a sensitivity analysis of the driving behaviors of AVs and an effect assessment of CAVs in a mixed traffic environment were done to explore the human alike autonomous technology. The findings show that, up to a point, which is directly re-lated to the quantity of interacting vehicles, the impact of CAVs is typically favorable. This study validates the approach and supports past studies by showing that CAVs perform better in traffic than AVs for traffic performance and safety aspects. On top of that, the sensitivity analysis has shown that enhancements in technology are required for obtaining the maximum advantages.

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“…Most previous studies have demonstrated the possibility of reflecting various CAV behaviours by adjusting parameter values [18,[25][26][27][28][29][30][31]. The common characteristics of the CAV models assumed in previous studies are a shorter headway (CC1, CC2), sensitive response to the behaviour of the preceding vehicle (CC4, CC5), compliance with the desired speed without oscillation (CC6), and more aggressive acceleration (CC7, CC8, CC9).…”

Section: Vehicle Behavioursmentioning

confidence: 99%

Influence of dedicated lanes for connected and automated vehicles on highway traffic flow

Kim

Lim

Seo

et al. 2022

IET Intelligent Trans Sys

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The introduction of Connected and automated vehicles (CAVs) promises various social and economic benefits, but safety issues are encountered when CAVs are mixed with human‐driven vehicles (HDVs). This study presents three scenarios as lane operation alternatives for situations in which CAVs and HDVs are mixed. The proposed lane operation scenarios for CAVs are the operation of dedicated lanes (DLs) for CAVs, operation of a DL for CAVs and buses, and the operation of DLs for buses. For each scenario, the effects of the market penetration rate (MPR) on traffic efficiency and safety were evaluated. The following findings were obtained from the results: CAVs had a potential effect on each lane according to the lane operation scenario; traffic efficiency and safety improved in a traffic flow situation where CAVs and HDVs were mixed; traffic efficiency and safety were higher when operating DLs for CAVs than when operating a mixed traffic flow; and efficiency and safety were optimal when operating Scenario 2 (DL for CAVs and Buses) in the early stages of introducing CAV (MPR 10–30%) and operating Scenario 1 (DL for CAVs) in the mid‐ to long‐term stages (MPR 40–80%). These findings provide a basis for preparing new policy alternatives to the current policy of adopting DLs for buses. Furthermore, the evaluation of the effects of each DL operation in the transition period where CAVs and HDVs are mixed will contribute to the operation of an efficient and safe CAV‐based road traffic system.

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Assessment of connected and autonomous vehicles impacts on traffic flow through microsimulation.

Cited by 8 publications

References 49 publications

Roundabouts: Traffic Simulations of Connected and Automated Vehicles—A State of the Art

Roundabouts: Traffic Simulations of Connected and Automated Vehicles—A State of the Art

How Human Alike Connected Autonomous Vehicles Affect Traffic Conditions in Urban Environment?

Influence of dedicated lanes for connected and automated vehicles on highway traffic flow

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