Motion planning methods for autonomous vehicles in disordered traffic systems: a comparative analysis and future research directions Online publication date: Mon, 13-Jul-2020
by Caleb Ronald Munigety
International Journal of Vehicle Autonomous Systems (IJVAS), Vol. 15, No. 2, 2020
Abstract: Most works that exist in the field of autonomous vehicle motion planning are in the context of orderly or lane-oriented traffic. However, the traffic conditions that exist in many countries like India, China, Bangladesh, etc. are disordered where the vehicles move anywhere laterally without complying with the lane discipline rule. This characteristic makes the task of planning by an autonomous vehicle manoeuvring in disordered traffic streams highly complex and computationally rigorous. The motion planning problem of autonomous vehicles in traffic systems where lane-discipline is not necessarily followed bears a resemblance with the mobile-robot motion planning. Thus, this paper reviews various techniques available for motion planning of robots in conjunction with the issue of motion planning of autonomous vehicles in disordered traffic conditions, highlights the advantages and limitations of different approaches alongside simulation-based comparative analysis, and finally puts forth some research directions.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Vehicle Autonomous Systems (IJVAS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook