The Day 1 C-ITS Application Green Light Optimal Speed Advisory—A Mapping Study

In this paper the authors report on a mapping study to survey the current state of research relating to the Day 1 C-ITS application GLOSA (Green-Light Optimal Speed Advisory) defined in the EU C-ROADS platform, by analysing and categorising scientific publications. The C-ROADS platform—initiated in 2016 by the EU CEF program (Connecting Europe Facility)—aims at harmonizing the deployment of C-ITS (Cooperative Intelligent Transport Systems). C-ITS applications are enabled by communication between vehicles and infrastructure together with on-board computational capabilities of road vehicles and aims to improve road safety and efficiency. Among the stated objectives of the C-ROADS platform is to facilitate interoperability of C-ITS applications throughout the EU by standardizing necessary infrastructure elements and providing a common portfolio of service definitions, and thereby also increasing the speed of deployment. The C-ROADS platform is a promising initiative that acknowledges that deployment of C-ITS is a process with an element of the chicken-and-the egg problem—no individual organization has the power or incentive to alone establish enough momentum for a successful deployment. Instead, the C-ROADS platform applies an evolutionary process by defining use cases—so called Day 1 services—that build on mature technologies and have societal benefits and that are expected to be available in the short term, along with services that have step-wise increasing requirements on infrastructure and road vehicle capabilities. Still, many of these Day 1 services have yet to see wide-spread deployment and it is of interest to survey the current state of knowledge. In this paper the authors report on a mapping study in which the authors survey the current body of knowledge related to the Day 1 C-ITS application GLOSA by analysing scientific publications. The study was done in the CEF funded project Nordic Way 2, aimed at demonstrating and evaluating C-ITS in the Nordic countries. GLOSA is an on-board vehicle function that utilizes data from signalized traffic intersections to calculate an optimal speed to arrive at green light. GLOSA is expected to improve road safety and fuel consumption by reducing the number of decelerations and accelerations, thereby also contributing to a smoother traffic flow. In the authors mapping study, the authors classified 64 peer-reviewed scientific publications according to a scheme developed as part of the study which includes such attributes as: what empirical basis was used; what expected effect of GLOSA that was evaluated (e.g. fuel consumption, traffic flow, safety); what infrastructure components were assumed or analysed (e.g. type of communication medium and protocol); what the main focus of the paper was (e.g. infrastructure considerations, driver behaviour, GLOSA algorithm). The results and conclusions were validated with key C-ITS stakeholders. Among the authors finding are that a majority of evaluations have been in simulations and that the size of effects varies widely between publications. Furthermore, the driver models used in the simulations are typically simplistic in that they assume the driver follows the recommendations more or less precisely, which according to other studies may not correspond well with actual behaviour. In addition, a majority of publications focus on effects on the GLOSA-equipped vehicle, such as emission reduction, but few have evaluated the impact on the traffic flow on a wider scale, or on how unequipped vehicles are affected (such as driver behaviour). The contributions of the authors paper can be of interest to commercial and public organizations that have a stake in C-ITS services and applications in general and in GLOSA specifically, and wish to know the current state of research, as well as to researchers to identify gaps in need of further investigation. In addition, the paper provides a methodological description for a mapping study which can be applied to other C-ITS applications, and thereby contribute with more uniform evaluation of the current state of research.


  • English

Media Info

  • Media Type: Digital/other
  • Pagination: 19p
  • Monograph Title: European Transport Conference 2019

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Filing Info

  • Accession Number: 01753739
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Sep 29 2020 11:19AM