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  • 1. Chen, Lei
    et al.
    Englund, Cristofer
    RISE, Swedish ICT, Viktoria. Halmstad University, Sweden; Chalmers University of Technology, Sweden.
    Cooperative Intersection Management: A Survey2016In: 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)
    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.

  • 2.
    Lycken, Anders
    et al.
    RISE - Research Institutes of Sweden, Bioeconomy, Biobased Materials.
    Torstensson, Erik
    RISE - Research Institutes of Sweden, Safety and Transport, Electronics.
    Engström, Jonas
    RISE - Research Institutes of Sweden, Bioscience and Materials, Agrifood and Bioscience.
    Lagnelöv, Oscar
    RISE - Research Institutes of Sweden, Bioscience and Materials, Agrifood and Bioscience.
    Söderberg, Andreas
    RISE - Research Institutes of Sweden, Safety and Transport, Electronics.
    Förarlösa virkestruckar – en förstudie2017Report (Other academic)
    Abstract [en]

    This pilot study was initiated by the sawmill industry and aims to investigate the

    possibility of introducing autonomous vehicles in the form of forklift trucks for

    handling of timber packages at sawmills.

    The report presents the various levels of definition of autonomous vehicles, and in

    which activities we now can find examples of vehicles with varying degrees of autonomy.

    Various technical solutions to enable navigation and security for autonomous

    vehicles are presented as well as the security requirements of autonomous vehicles in

    different situations.

    To exemplify today’s and tomorrow’s use of forklifts, a sawmill’s package management

    is described, and a scenario for autonomous trucks is presented. Under that scenario,

    today’s six trucks are replaced with three or four driverless trucks. A brief economic

    calculation is made, describing the economic potential of driverless trucks. It shows

    that autonomous forklifts may be permitted to cost significantly more than conventional

    forklifts after the external security systems are installed, and still be profitable.

    The reason is mainly the personnel costs associated with running conventional forklifts.

    In conclusion, autonomous vehicles can be realized in the relatively near future in

    many industries. The sawmill industry is also expected to take advantage of the ongoing

    research and development. It is not least the economic parameters that weigh heavily

    pro an introduction of autonomous forklift trucks, while safety precautions can be a

    challenge.

    An intermediate step towards fully driverless forklift trucks can be a semi-autonomous

    solution, where the driver / operator manage a plurality of trucks by telemetry with

    manual assistance only when

    Download full text (pdf)
    fulltext
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