Smart infrastructure index report. Second release
The shift towards Connected, Cooperative, and Automated Mobility (CCAM) represents a significant paradigm shift in mobility. To navigate this transition effectively, the establishment of standardized procedures for evaluating infrastructure capabilities is crucial. One of these procedures is the definition of classifications schemes to evaluate the maturity, readiness or support infrastructures can provide for CCAM. These classifications serve a multifaceted purpose, including informing end-users, assisting operators, and aiding authorities and policymakers in planning the evolution of CCAM. Furthermore, as smart infrastructures become more prevalent, these standardized approaches play a pivotal role in infrastructure management, by guiding planning future infrastructure improvements and investments to support higher levels of automation and advanced use cases.This document is the final release of a set of two, delivered at the end of the project, when the implementation of TANGENT’s classification system was already performed and tested. It starts by introducing the relevancy of smart infrastructure classifications accompanied by describing known best practices and followed by identifying the requirements deemed more relevant from expert stakeholders. A literature review on the main existing smart infrastructure classification schemes was performed, tackling six indexes: ISAD, CRCS, EAPA index, LOSAD and SRC and was further extended in this final version to include two other indexes for MTM Cluster TANGENT sister projects FRONTIER and DIT4TRAM with the SRICI and SIRI indexes respectively. The initial literature review supported the identification of the most relevant infrastructure characteristics, alongside pinpointing the limitations of the existing classifications, allowing the consortium to evolve the existing work to an urban and peri-urban context and to expand it to include multimodal transport. The consultation of TANGENT’s Advisory Board aided the consortium to swiftly adapt to urban multimodal scenarios, while avoiding some pitfalls from the previous indexes.Next, the deliverable introduces TANGENT’s own smart infrastructure classification, the Smart Infrastructure Classification Index (SICI), laying out the TANGENT classification categories, its evaluation criteria, and its integration into the TANGENT platform. The six categories considered for SICI are: Physical Elements, Infrastructure Perception, Reference Information, Dynamic Information, Information Channels and Active Traffic Management. The first category focuses on physical infrastructure elements like road marks and signs that are crucial for the perception of human drivers as well as autonomous vehicles. The second category is comprised of the several different types of sensors that allow characterization and monitoring of the infrastructure. The third one evaluates the availability of reference information on the infrastructure side, namely from road and transport operators, while the fourth refers to (quasi) real-time information on the transport network state. The fifth category addresses how the information reaches vehicles and users, while the last one evaluates the existing of both classic and cooperative active traffic managements functions. An individual scoring of each SICI category is considered. This is a fundamental concept behind SICI, as the different categories focus on different dimensions of maturity of a smart infrastructure, which correlate but do not imply each other. This document presents the evaluation process of each SICI category, by providing a detailed list of evaluation criteria for each of the items in each of the categories. Finally, this deliverable introduces how the consortium implemented SICI in TANGENT’s integrated platform and does a summary comparison between the most relevant indexes mentioned and SICI.
Institutions
- FIT to be a MOM (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-11-22
- DOI
- https://doi.org/10.5281/zenodo.14608968
- Primary Topic
- Smart Cities and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00