Assessing environmental impacts of ad-hoc truck platooning on multilane freeways

Bibeka, Apoorba; Songchitruksa, Praprut; Zhang, Yunlong

doi:10.1080/15472450.2019.1608441

Cited by 23 publications

(13 citation statements)

References 13 publications

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“…The results show that the CACC technology reduces the overall fuel consumption and emissions in a five-car-fleet by an average of 3.7%, ranging from 0.5% to 6.7% compared with ACC. This result is consistent with previous studies ( 22 , 36 ). Furthermore, the results of scenario 2 reveal that the amount of fuel consumption for the merging vehicle slightly increases by 0.54% compared with manually-driven mode.…”

Section: Discussionsupporting

confidence: 94%

“…It is expected that CAVs will enhance mixed traffic performance and increase roadway capacity ( 21 ), reduce emissions ( 22 ), enhance fuel economy ( 23 ), enhance public health ( 24 ), and decrease traffic conflict ( 25 ) by improving safety through the use of advanced technologies, such as CACC ( 26 ). It is believed that CACC improves the safety conditions of the network by reducing the number of rear-end conflicts ( 18 , 27 ).…”

Section: Literature Reviewmentioning

confidence: 99%

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Safety, Energy, and Emissions Impacts of Adaptive Cruise Control and Cooperative Adaptive Cruise Control

Mahdinia

Arvin

Khattak

et al. 2020

Transportation Research Record: Journal of the Transportation R

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Connected and automated vehicle technologies have the potential to significantly improve transportation system performance. In particular, advanced driver-assistance systems, such as adaptive cruise control (ACC) and cooperative adaptive cruise control (CACC), may lead to substantial improvements in performance by decreasing driver inputs and taking over control of the vehicle. However, the impacts of these technologies on the vehicle- and system-level energy consumption, emissions, and safety have not been quantified in field tests. The goal of this paper is to study the impacts of automated and cooperative systems in mixed traffic containing conventional, ACC, and CACC vehicles. To reach this goal, experimental data based on real-world conditions are collected (in tests conducted by the Federal Highway Administration and the U.S. Department of Transportation) with presence of ACC, CACC, and conventional vehicles in a vehicle platoon scenario and a cooperative merging scenario. Specifically, a platoon of five vehicles with different vehicle type combinations is analyzed to generate new knowledge about potential safety, energy efficiency, and emission improvement from vehicle automation and cooperation. Results show that adopting the CACC system in a five-vehicle platoon substantially reduces the driving volatility and reduces the risk of rear-end collision which consequently improves safety. Furthermore, it decreases fuel consumption and emissions compared with the ACC system and manually-driven vehicles. Results of the merging scenario show that while the cooperative merging system slightly reduces the driving volatility, the fuel consumption and emissions can increase because of sharper accelerations of CACC vehicles compared with manually-driven vehicles.

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Section: Discussionsupporting

confidence: 94%

Section: Literature Reviewmentioning

confidence: 99%

Safety, Energy, and Emissions Impacts of Adaptive Cruise Control and Cooperative Adaptive Cruise Control

Mahdinia

Arvin

Khattak

et al. 2020

Transportation Research Record: Journal of the Transportation R

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show abstract

“…In an early study, we implemented a packet-level communication module through Vissim API [36]. Similar adaptations for the model were also found in previous studies [11,36,60]. e analytical model [61] was developed from ns-2, an empirical packet-level network simulator that returns the probability of one-hop broadcast reception of basic safety message (BSM) under IEEE 802.11p, an approved amendment tailored to wireless access in vehicular environment (WAVE) in the 802.11 family protocol.…”

Section: Wireless Communication Modelmentioning

confidence: 93%

Traffic Flow Characteristics and Lane Use Strategies for Connected and Automated Vehicles in Mixed Traffic Conditions

Zhong

Lee

Zhao

2021

Journal of Advanced Transportation

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Managed lanes, such as a dedicated lane for connected and automated vehicles (CAVs), can provide not only technological accommodation but also desired market incentives for road users to adopt CAVs in the near future. In this paper, we investigate traffic flow characteristics with two configurations of the managed lane across different market penetration rates and quantify the benefits from the perspectives of lane-level headway distribution, fuel consumption, communication density, and overall network performance. The results highlight the benefits of implementing managed lane strategies for CAVs: (1) A dedicated CAV lane significantly extends the stable region of the speed-flow diagram and yields a greater road capacity. As the result shows, the highest flow rate is 3400 vehicles per hour per lane at 90% market penetration rate with one CAV lane. (2) The concentration of CAVs in one lane results in a narrower headway distribution (with smaller standard deviation) even with partial market penetration. (3) A dedicated CAV lane is also able to eliminate duel-bell-shape distribution that is caused by the heterogeneous traffic flow. (4) A dedicated CAV lane creates a more consistent CAV density, which facilitates communication activity and decreases the probability of packet dropping.

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“…Bibeka et al [7] developed a mechanism to evaluate truck platooning's impact on emissions under different scenarios using Vissim which is a microscopic traffic simulation model. They found that the gap setting of platoons is an important parameter in reducing the emissions where smaller gaps resulted in longer platoons and higher emission reductions.…”

Section: Research Background and Purposementioning

confidence: 99%

Study on the Selection of Sections Applicable to Truck Platooning in the Expressway Network

Jeong

Park

et al. 2020

Sustainability

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Several research studies are being actively conducted on truck platooning, in which several trucks are organized in one fleet. The main advantages of truck platooning are increased traffic efficiency, improved fuel consumption and driver performance, and enhanced safety. However, these effects may depend on the actual conditions of road geometry and traffic situation. Therefore, this study analyzed the sustainability of truck platooning on an expressway network in terms of road geometry and traffic situation. To select elements affecting truck platooning on an expressway network, an expert survey was conducted. In addition, the weight of each element selected in the survey was determined through an analytic hierarchy process. In this study, the geometric conformity and traffic environment indices for truck platooning were calculated based on the data collected by the congestion zone (Conzone) and the weights. Moreover, the calculated indices were clustered into three different categories through cluster analysis. Based on the cluster analysis result, each Conzone was classified into three types: Type 1, which is suitable for both traffic environment and geometric conformity to operate platooning; Type 2, which has geometrical conditions but requires improvement of traffic environment; and Type 3, which requires geometrical improvement. Finally, the Type 1 Conzones were expanded to expressway sections to consider the network connectivity and truck platoon operability. The obtained results revealed that 14 sections of 9 expressway lines are most applicable for truck platooning.

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Assessing environmental impacts of ad-hoc truck platooning on multilane freeways

Cited by 23 publications

References 13 publications

Safety, Energy, and Emissions Impacts of Adaptive Cruise Control and Cooperative Adaptive Cruise Control

Safety, Energy, and Emissions Impacts of Adaptive Cruise Control and Cooperative Adaptive Cruise Control

Traffic Flow Characteristics and Lane Use Strategies for Connected and Automated Vehicles in Mixed Traffic Conditions

Study on the Selection of Sections Applicable to Truck Platooning in the Expressway Network

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