Challenges in Open Transportation Data for Crash and Traffic Safety Analysis
Other conference contribution, 2026
The primary aim of this study is to systematically characterize the availability, technical properties, and limitations of open transportation datasets, and to assess their suitability for crash analysis, safety system development, and infrastructure-level safety analysis. A secondary aim is to identify technical and organizational barriers to data sharing that affect the feasibility of integrated, multi-source safety analyses.
The results indicate that while existing open datasets are technically sufficient to support a broad range of crash analysis and traffic safety applications, their effective integration requires improved standardization, clearer governance frameworks, and transparent documentation of dataset limitations. Addressing these challenges is critical to enabling reliable, multi-source traffic safety analyses and supporting evidence-based road safety solutions and transport policy development.
freight transport
traffic safety
mobility
traffic flow
electromobility
infrastructure
Author
Jordanka Kovaceva
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Safety
Robert Thomson
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Safety
Jorge Gil
Chalmers, Architecture and Civil Engineering, Urban Design and Planning
Jonas Fredriksson
Chalmers, Electrical Engineering, Systems and control
Violeta Roso
Chalmers, Technology Management and Economics, Supply and Operations Management 00
Hannover, Germany,
Connected Transport Data (TREND)
Chalmers (SOT C 2024-0299-32), 2025-01-01 -- 2026-12-31.
Driving Forces
Sustainable development
Areas of Advance
Transport
Subject Categories (SSIF 2025)
Transport Systems and Logistics
Building Technologies
Vehicle and Aerospace Engineering
Control Engineering
Infrastructure
Chalmers e-Commons (incl. C3SE, 2020-)