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, 570-586 p.Article, review/survey (Refereed) Published
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. © 2015 IEEE.
Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Press, 2016. Vol. 17, no 2, 570-586 p.
Cooperative intelligent traffic systems, C-ITS, cooperative intersection management, VANET, V2V, V2I, V2P, V2X, mathematical optimization, multi-agent system, trajectory planning, motion planning, collision avoidance
IdentifiersURN: urn:nbn:se:hh:diva-32314DOI: 10.1109/TITS.2015.2471812ISI: 000370531000024ScopusID: 2-s2.0-84941247617OAI: oai:DiVA.org:hh-32314DiVA: diva2:1039973
FunderEU, FP7, Seventh Framework Programme