Environmental impact of autonomous cars considering platooning with buses in urban scenarios

Zhang, Yixin; Chen, Xumei; Ma, Jiaxin; Yu, Lei

doi:10.1016/j.scs.2023.105106

Cited by 1 publication

(3 citation statements)

References 51 publications

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“…This shift involves moving from traditional fuel-based internal combustion engines to ecofriendly vehicles that emit no greenhouse gases. Current advancements in platooning technology are projected to enhance energy efficiency significantly, contributing to the reduction of greenhouse gas emissions during this transition period [47][48][49]20]. This study's CFD-simulated results indicate that fuel efficiency can vary with different platooning configurations.…”

Section: Co2 Emissionsmentioning

confidence: 85%

“…Fuel consumption in platooning varies based on factors including the number of vehicles in the platoon, vehicle speed, and the distance between vehicles. Several studies have examined fuel efficiency effects using two to four vehicles and various separation distances [19,20]. In platooning systems, the separation between vehicles is a key factor influencing fuel consumption.…”

Section: Introductionmentioning

confidence: 99%

“…Field experiments provide a precise experimental environment that allows for repetitive testing. However, they encounter several challenges in measuring actual vehicle fuel efficiency [20,27]. Limitations include limited control over real-world traffic and weather conditions, along with significant time, cost, and safety considerations.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Impact of Platooning on Fuel Consumption in Heavy-Duty Vehicles: A Computational Fluid Dynamics Modeling Approach

Kim,

Kang,

Hwang

et al. 2024

Preprint

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Platooning represents a crucial strategy for mitigating emissions from heavy-duty vehicles (HDVs). This study evaluates the effects of platoon composition on the surrounding airflow utilizing a computational fluid dynamics (CFD) model, and quantifies the resultant fuel efficiency and CO2 emissions. This study examines fuel consumption data reconstructed from field experiments to validate the CFD model’s ability to accurately simulate drag forces within a homogeneous three-truck platoon. The potential for fuel savings was assessed based on CFD-simulated fuel consumption, taking into account various inter-vehicle distances and driving speeds. The model successfully reproduced the fuel consumption observed in a platooning formation comprising lead, middle, and trailing trucks, with an error margin below 6.2%. While the lead and middle trucks exhibited increased fuel consumption with greater inter-vehicle distances, the trailing truck showed decreased fuel consumption with specific distance-to-length ratios (D/L), followed by an increase from a D/L of 1.1. Additionally, a significant decrease in total fuel efficiency was noted for D/L ratios exceeding 1.5. Considering the diverse platooning scenarios analyzed, the study anticipates an annual reduction of up to 7 tons of CO2 equivalent per vehicle. By optimizing platooning configurations, this research contributes to enhancing fuel efficiency and reducing emissions from HDVs.

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Section: Co2 Emissionsmentioning

confidence: 85%

Section: Introductionmentioning

confidence: 99%