Cooperative Intersection Management: A Survey
2016 (English)In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016, Vol. 17, no 2, p. 570-586, article id 7244203Article in journal (Refereed) Published
Abstract [en]
Intersection management is one of the most challenging problems within the transport system. Traffic light-based methods have been efficient but are not able to deal with the growing mobility and social challenges. On the other hand, the advancements of automation and communications have enabled cooperative intersection management, where road users, infrastructure, and traffic control centers are able to communicate and coordinate the traffic safely and efficiently. Major techniques and solutions for cooperative intersections are surveyed in this paper for both signalized and nonsignalized intersections, whereas focuses are put on the latter. Cooperative methods, including time slots and space reservation, trajectory planning, and virtual traffic lights, are discussed in detail. Vehicle collision warning and avoidance methods are discussed to deal with uncertainties. Concerning vulnerable road users, pedestrian collision avoidance methods are discussed. In addition, an introduction to major projects related to cooperative intersection management is presented. A further discussion of the presented works is given with highlights of future research topics. This paper serves as a comprehensive survey of the field, aiming at stimulating new methods and accelerating the advancement of automated and cooperative intersections.
Place, publisher, year, edition, pages
2016. Vol. 17, no 2, p. 570-586, article id 7244203
Keywords [en]
C-ITS, Cooperative intelligent traffic systems, V2I, V2P, V2V, V2X, VANET, collision avoidance, cooperative intersection management, mathematical optimization, motion planning, multi-agent system, trajectory planning
National Category
Communication Systems Robotics Telecommunications
Identifiers
URN: urn:nbn:se:ri:diva-27833DOI: 10.1109/TITS.2015.2471812Scopus ID: 2-s2.0-84941247617OAI: oai:DiVA.org:ri-27833DiVA, id: diva2:1064135
2017-01-112017-01-112023-05-25Bibliographically approved