2015
DOI: 10.1016/j.eswa.2015.03.022
|View full text |Cite
|
Sign up to set email alerts
|

Trajectory planning and tracking control for autonomous lane change maneuver based on the cooperative vehicle infrastructure system

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
97
0
1

Year Published

2017
2017
2021
2021

Publication Types

Select...
5
3
1

Relationship

1
8

Authors

Journals

citations
Cited by 194 publications
(98 citation statements)
references
References 31 publications
0
97
0
1
Order By: Relevance
“…Zong et al applied a multiobjective stability control algorithm to improve the vehicle stability of a tractor semitrailer by using differential braking [35]. Recently, more and more people pay attention to intelligent vehicle based on Cooperative Vehicle Infrastructure System [36][37][38][39][40][41][42][43]. Besides, vehicle control and system model was combined with transportation simulation [44][45][46][47][48][49][50][51][52].…”
Section: And Wu Investigated Lyapunov Concept Exponents and Applicatimentioning
confidence: 99%
“…Zong et al applied a multiobjective stability control algorithm to improve the vehicle stability of a tractor semitrailer by using differential braking [35]. Recently, more and more people pay attention to intelligent vehicle based on Cooperative Vehicle Infrastructure System [36][37][38][39][40][41][42][43]. Besides, vehicle control and system model was combined with transportation simulation [44][45][46][47][48][49][50][51][52].…”
Section: And Wu Investigated Lyapunov Concept Exponents and Applicatimentioning
confidence: 99%
“…However, treating the length of the vehicle as a diameter results in a significant amount of space in the lateral direction which does not contain a vehicle, and the vehicle width can thus exceed that of a single lane; therefore, this approach is not appropriate for lane-changing maneuvering. A few scholars have used a dynamic circle to cover the entire vehicle, where the width of the vehicle is the diameter of the dynamic circle and the swept area of the dynamic circle is regarded as the vehicle area [9,12], as shown in Figure 4(b). However, this method only considers the physical characteristics of the vehicle and neglects the different collision possibilities in terms of the different driving velocities and the different collision probabilities in the horizontal and vertical directions.…”
Section: Selection Of the Vehicle Modelmentioning
confidence: 99%
“…Since overtaking behaviour can be regarded as two occurrences of lane changing, lane-changing trajectory planning has become one of the key components of automated vehicles. Bézier [5,6], spline [7,8], and polynomial curves [9,10] are currently the must utilized lane-changing trajectory planning methods for automated vehicles. The Bézier curve can continuously generate a lane-changing trajectory using the radius of curvature but is only applicable for static planning because it requires the selection of control points and cannot achieve real-time obstacle avoidance.…”
Section: Introductionmentioning
confidence: 99%
“…Most importantly, IoV and VANETs should also offer a large number of safety applications with high priority, including autonomous lane change maneuver, forward collision warning, traffic signal violation, emergency brake lights, and so on. [16][17][18] By the aid of IVT system and RSUs in IoV scenario, safety applications use beacon messages that are based on periodic message exchanges of single-hop broadcast packets (also known as cooperative awareness messages) on CCH. 11 The periodical exchange of beacon messages on CCH among IVT system and RSUs will make vehicles aware of their surroundings and will also be exploited by higher layer protocols and applications.…”
Section: Problem and Motivationmentioning
confidence: 99%