BEP-IM: A Vehicular Crowdsensing Incentive Mechanism to Drive Sustained Spatial Coverage and Proactive Sensing Shaping

In the Internet of Vehicles, vehicular crowdsensing is crucial for alleviating traffic congestion and ensuring the safety of autonomous driving. However, practical vehicular crowdsensing processes face dual challenges of skewed spatial distributions of vehicles and inadequate data quality guidance....

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Hlavní autoři:	Jiamin Zhang, Lisha Shuai, Jiuling Dong, Gaoya Dong, Xiaolong Yang, Keping Long
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-04-01
Edice:	Entropy
Témata:	vehicular crowdsensing reference-dependent loss aversion operant conditioning incentive mechanism
On-line přístup:	https://www.mdpi.com/1099-4300/28/5/499
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