ArticleScientific reports2026
Data sharing and platform empowerment in vehicle-road-cloud integration: a prospect theory based evolutionary game analysis.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Vehicle-Road-Cloud (VRC) integration is a key pathway toward intelligent and connected transportation systems, where data sharing and platform empowerment enable cross-domain collaboration. However, ecological cooperation in VRC ecosystems is often hindered by data security risks, asymmetric cost-benefit structures, and bounded rationality of heterogeneous stakeholders. Existing studies rarely examine how subjective value perception and risk attitudes shape cooperative strategy evolution in such data-driven systems. This study develops a three-party evolutionary game model involving ICV manufacturers, cloud-control platform service providers, and the government. Prospect theory is incorporated to capture behavioral preferences under uncertainty, and a government dynamic subsidy mechanism is introduced to analyze regulatory incentives. Replicator dynamics and numerical simulations are employed to examine the effects of data value conversion efficiency, data sharing intensity, data protection level, and risk costs. The results indicate that dynamic government subsidies can effectively promote ecological cooperation, while higher data value conversion efficiency, stronger data protection, and greater data sharing intensity significantly enhance firms' willingness to cooperate. In contrast, elevated data-related risk costs substantially inhibit cooperative behavior, with more pronounced effects on ICV manufacturers. This study provides behavioral insights into multi-agent coordination in Vehicle-Road-Cloud integration and offers policy and managerial implications for fostering sustainable cooperation in intelligent transportation ecosystems.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.