A Distributed and adaptive framework for provisioning QoS in IPv6 networks

Shao, Huagang; Chen, Xiao; Wang, Weinong

doi:10.1007/s12204-008-0097-5

Cited by 3 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Gao et al studied the driver's visual behavior under different vehicle speeds through real vehicle-lane-changing experiments [99]. In addition, a small number of studies include the automatic driving field [101].…”

Section: Analysis Of "Road Engineering" "Expressway" and "Vehicle Eng...mentioning

confidence: 99%

Review of Research on Road Traffic Operation Risk Prevention and Control

Gao

et al. 2022

IJERPH

View full text Add to dashboard Cite

Road traffic safety can be ensured by preventing and controlling the potential risks in road traffic operations. The relevant literature was systematically reviewed to identify the research context and status quo in the road traffic operation risk prevention and control field and identify the key study contents needing further research. As research material, the related English and Chinese literature published between 1996 and 2021 (as of 31st December 2021) was obtained through the Web of Science Core Collection and Chinese Science Citation Database. These research materials include 22,403 English and 7876 Chinese papers. Based on the bibliometrics, this study used CiteSpace software to conduct keyword co-occurrence analysis in the field. The results show that the relevant research topics mainly covered the risks of drivers, vehicles, roads, and the traffic environment. In the aspect of driver risks, the studies focused on driving behavior characteristics. In terms of vehicle risks, the related studies were mainly about the vehicle control system, driving assistance system, hazardous material transportation, automated driving technology, safe driving speed, and vehicle collision prediction. For the road risks, the safe driving guarantee of high-risk road sections, driving risks at intersections, and safe road alignment design were the three study hotspots. In terms of traffic environment risks, identifying traffic risk locations and driving safety guarantees under adverse weather conditions were the two main research highlights. Moreover, mathematical modeling was the main method for studying road traffic operation risk. Furthermore, the impact of environmental factors on drivers, the emergency rescue system for road traffic accidents, the connection between automated driving technology and safe driving theory, and the man–machine hybrid traffic flow characteristics are the subjects needing further research.

show abstract

Section: Analysis Of "Road Engineering" "Expressway" and "Vehicle Eng...mentioning

confidence: 99%

Review of Research on Road Traffic Operation Risk Prevention and Control

Gao

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Wang [9] used the sliding mode variable structure control theory of the underactuated system to design the position control rate and attitude control rate for lane-changing trajectory-tracking control. Shao et al [10] designed a vehicle lateral fuzzy controller based on the two degrees of freedom dynamic model and fuzzy control theory, which can make the vehicle accurately track the centerline of the lane. Leng [11] used model predictive control theory to design an explicit tracking controller, which takes into account tracking accuracy and driving stability.…”

Section: Introductionmentioning

confidence: 99%

Lane-Changing Trajectory Tracking and Simulation of Autonomous Vehicles Based on Model Predictive Control

Song

Guo

et al. 2022

Sustainability

View full text Add to dashboard Cite

In order to realize the lane-changing maneuver of Connected Autonomous Vehicles (CAV), a lateral controller based on model predictive control is developed with the three degrees of freedom vehicle dynamic model. Then the controller is synthesized to track the reference trajectory fitted by the quintic Bézier curve. The controller is validated by MATLAB/CarSim under different road adhesion conditions and driving speeds. Results show that for different road adhesion conditions and driving speeds, the controller does not need to adjust the control parameters and can continuously correct the deviation from the expected trajectory. During the tracking process, the front wheel angle, front wheel angle increment, centroid side deflection angle, and front wheel side deflection angle are kept within the limited constraint range. The established control algorithm has good control robustness and tracking driving stability. The research can provide a theoretical basis and technical support for lane-changing safety and control of CAV.

show abstract