This data article introduces a comprehensive dataset of real-world truck parking locations across Europe. The dataset comprises = 19,713 designated parking sites classified according to public accessibility and suitability for heavy-duty trucks (HDTs). More specifically, core information comprises the truck stop category, latitude and longitude information, area size, and country assignment. Furthermore, additional information such as truck traffic flow volumes, proximity to the highway network, and land use information provide supplemental data on ambient conditions and thus enhance the contextual relevance of those locations. The dataset was systematically generated using OpenStreetMap (OSM) data, focusing on parking areas, rest areas, and fueling stations as predominant public truck parking sites. These locations were evaluated and filtered for truck accessibility and suitability and then complemented and validated using commercial truck routing / geocoding software. Further refinement was achieved by Mean-Shift clustering. The further integration of supplementary datasets increased the information level, and all clustered locations were labeled into four archetypal categories. Finally, filtering retained only confidently classified publicly accessible and truck-certified parking and service facilities. This dataset assists in finding real-world stop options for HDTs during national or international operations and identifying suitable and most attractive sites for deploying alternative charging or refueling infrastructures along the European transport network. Accordingly, it can serve as a valuable resource for research in traffic science, future energy systems, and alternative truck powertrains. Its added value extends to diverse stakeholders like Charge Point Operators (CPOs), truck manufacturers, logistics companies, and public authorities.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11220867PMC
http://dx.doi.org/10.1016/j.dib.2024.110277DOI Listing

Publication Analysis

Top Keywords

truck parking
12
parking locations
8
truck
8
parking sites
8
accessibility suitability
8
parking
6
locations
5
geospatial truck
4
data
4
locations data
4

Similar Publications

Physical inactivity is a leading risk factor for non-communicable diseases. Climate change is now regarded as the biggest threat to global public health. Electric micromobility (e-micromobility, including e-bikes, e-cargo bikes, and e-scooters) has the potential to simultaneously increase people's overall physical activity while decreasing greenhouse gas emissions where it substitutes for motorised transport.

View Article and Find Full Text PDF

Investigating the contributing factors to autonomous Vehicle-Road user Conflicts: A Data-Driven approach.

Accid Anal Prev

March 2025

Department of Civil Engineering, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada, L8S 4L7. Electronic address:

With the imminent widespread integration of Autonomous Vehicles (AVs) into our traffic ecosystem, understanding the factors that impact their safety is a vital research area. To that end, this study assessed the impact of a wide range of factors on the frequency of AV-road user conflicts. The study utilized the Woven prediction and validation dataset, which contains over 1000 h of data collected from the onboard sensors of 20 AVs in California.

View Article and Find Full Text PDF

Egypt faces extreme traffic congestion in its cities, which results in long travel times, large lines of parked cars, and increased safety hazards. Our study suggests a multi-modal approach that combines critical infrastructure improvements with cutting-edge technologies to address the ubiquitous problem of traffic congestion. Assuring vehicles owners of their timely arrival, cutting down on fuel usage, and improving communication using deep learning approach and optimization algorithm within the potential of IoT enabled 5G framework are the main goals.

View Article and Find Full Text PDF

Background: Given the limited research conducted on the role of a human co-driver in mitigating occupational health and safety risks, this study aims to investigate the impact of a co-driver on health and safety conditions in the truck transportation process.

Methods: The truck transportation process was divided into three main stages: truck loading, driving, and unloading. Using the job safety analysis (JSA) method, an analysis of the tasks within each stage was conducted, allowing for the identification of essential and safe tasks and conditions.

View Article and Find Full Text PDF

A Disaster Response Complex for training of emergency responders in the Northwest United States.

J Emerg Manag

August 2024

Department of Civil & Environmental Engineering, Idaho State University, Pocatello, Idaho. ORCID: https://orcid.org/0000-0003-4654-0531.

The Disaster Response Complex (DRC) is a year-round training complex that specializes in training emergency responders in realistic indoor and outdoor environments. The outdoor site is comprised of 3 acres of secured customizable space for various exercises. The indoor site is designed to include an indoor facility with a full-size city street, complete with storefronts and motor vehicles that can be configured for emergency response training exercises, and a train or subway station where mockups of derailments can be simulated.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!