03. North Holland
Lead:
Others partners involved:
The Province of North Holland is the 6th largest province in the Netherlands with a population of 2.9 million and covers an area of 4,091km2. Roads in the province include 691km of national roads and motorways, 645 km of provincial rural roads and 12,423km of local authority urban roads. There is also an extensive network of dedicated infrastructure for cyclists and mopeds. North Holland pilot is a data-rich region, and its various data sources and suppliers will be utilised by the CAMBER project to progress the development of new asset and safety performance metrics. The Province of North Holland has an active road safety management system which SWOV was involved in building and populating, as was the case with the Network Safety Index (NSI) for the City of Amsterdam. North Holland is also involved in several innovative initiatives to improve the management of the road network, from asset management, traffic management, road safety to maintenance and smart mobility. The Province is involved in the national-led Road Monitor (ROMO) project24 which has delivered vehicle sensor data from Mercedes Benz vehicles to provincial and larger local road authorities to support road maintenance and safety monitoring, including data on road safety, hazard warnings, lane marking quality, road signs, road surface damage and waviness, and micro-weather.
This project is of particular significance to CAMBER, as it has been identified as a state-of-the-art approach to utilising (close to) real-time vehicle data for asset and safety monitoring for secondary road network managers.
Specific demonstrations to support project objectives:
Data currently held by the road authority and that collected by IRAP, SWOV and others will be correlated and used to assess the safety of roads and cycle paths using iRAP and CycleRAP technologies. This will complement and strengthen current RSM and RAM systems deployed by the Province and possibly the metropolitan area of Amsterdam, particularly with respect to cycle paths and certain categories of (semi-)urban roads (Component 1). Additional data will be collected for ground truth measurements on selected rural and urban roads using for example AIT’s Roadlab and MoProVe. This will be supported by data collected on the entire road network of North Holland through traffic information and Cooperative Intelligent Transport System (C-ITS) service providers (BMOB) and navigation applications (such as BMOB’s Flitsmeister app) (Component 2) and will be the basis for developing a regional digital twin by AGIL for provincial road network and including parallel cycling infrastructure.
This will use a GIS-based application built around the national road mapping system. For demonstrating the added benefits of 3D road (surface) models for RAM and RSM, detailed digital twin models for the 4 earlier mentioned road sections will be developed and supported by both all the automated and semi-automated parameters defined with the support of the AIT Roadlab system (Component 3). The pilot will also trial the communication of hazards and other warnings to road users (in addition to the road managers).
This will be done via the BMOB Flitsmeister app, and will establish whether road user feedback can improve safety outcomes and driver responses to hazards. The data form the basis for refining current low-cost remedial measure selection, prioritisation and implementation processes (Component 5).
Consortium
