2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) 2020
DOI: 10.1109/itsc45102.2020.9294509 View full text |Buy / Rent full text
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Abstract: Interactions between road users are both highly non-linear and profoundly complex, and there is no reason to expect that interactions between autonomous vehicles will be any different. Given the recent rapid development of autonomous vehicle technologies, we need to understand how these interactions are likely to present themselves, and what their implications might be. This paper looks into the impact of autonomous vehicles with differing controllers, focusing specifically on the effects of changing the mean … Show more

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“…Paper [55] proposed a reducing horizon model predictive control (MPC) with dynamic platoon splitting and integration rules for AVs and HVs, which mostly ease out the trajectory problem and prevent any shock wave but do not concurrently optimise the trajectory and signal timing of the road intersection. ere are some traffic management techniques; paper [56][57][58][59][60] investigated the impact of integrating AVs on the existing roads to coexist with the HV's, but most of the model performance efficiency is below average because of the cooperation levels of the vehicle type. e heterogeneous nature involved in the driving behaviour and the vehicle communication parameters will naturally exacerbate the cooperation level between the two vehicles, thereby drastically reducing the traffic flow efficiency.…”
Section: 3mentioning
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“…Paper [55] proposed a reducing horizon model predictive control (MPC) with dynamic platoon splitting and integration rules for AVs and HVs, which mostly ease out the trajectory problem and prevent any shock wave but do not concurrently optimise the trajectory and signal timing of the road intersection. ere are some traffic management techniques; paper [56][57][58][59][60] investigated the impact of integrating AVs on the existing roads to coexist with the HV's, but most of the model performance efficiency is below average because of the cooperation levels of the vehicle type. e heterogeneous nature involved in the driving behaviour and the vehicle communication parameters will naturally exacerbate the cooperation level between the two vehicles, thereby drastically reducing the traffic flow efficiency.…”
Section: 3mentioning
“…How will the mix work with different vehicle behaviour in a mixed traffic system while maintaining the full vehicle characteristics at reasonable traffic efficiency? e current research on mixed traffic [56][57][58][59][60] looked critically on a highway road system using the following three main traffic flow characteristics components: (i) Vehicle characteristics. (ii) Driving behaviour.…”
Section: 3mentioning