Periodic intermittent cruise control: An innovative approach for reducing fuel consumption and exhaust emissions in road traffic systems

Zhang, Cong; Xu, Ya; Li, Kening; Zhang, Ronghui; Peng, Tao; Zong, Changfu; Xu, Hang

doi:10.1016/j.psep.2023.07.079

Cited by 8 publications

(1 citation statement)

References 52 publications

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“…Recently, some scholars have begun to use the car-following theory to study the energy cons. For example, a unique periodic intermittent cruise controller was devised by Zhai et al [36] with the goal of tracking and assessing, in real time, the operational state of road vehicles and the environmental parameters related to them. They expertly used the FVD modeling framework in the controller to model and simulate the dynamic driving process of the car on the road.…”

Section: Traffic Fuel Consumption and Emission Assessment Modelmentioning

confidence: 99%

Study on the Emission of Connected Autonomous Vehicle Considering the Control of Electronic Throttle Opening

Kang,

Tian

2024

WEVJ

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Aiming at the networked cruise control scenario of CAV (connected autonomous vehicle) queue, we propose a new networked cruise control strategy for CAV by introducing the average information of ET (electronic throttle) opening of the downstream vehicle group as a feedback signal. By performing linear stability analysis on the new model, we derive its linear stability conditions. Further, we design exhaustive numerical simulation experiments aiming to systematically investigate the effect of the multi-vehicle ahead electronic throttle opening average feedback signal on CAV traffic stability, fuel consumption, and key emission factors, such as CO, HC, and NOx, during the cruise control process. The results show that the feedback signal can not only significantly improve the operational stability of the CAV traffic flow but also significantly improve its fuel consumption and the emission levels of CO, HC, and NOx. When the number of CAV vehicles in the feedback signal is set to three, the levels of CO, HC, and NOx emissions as well as fuel consumption in the road system can reach a stable and optimized state.

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Section: Traffic Fuel Consumption and Emission Assessment Modelmentioning

confidence: 99%