English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Vehicular Networks are one of the enabling technologies for cooperativeIntelligent Transportation Systems. For accurate and precise timesynchronization in vehicular networks, Global Navigation Satellite System(GNSS) is getting increasing attention for effective use of its timedissemination to vehicular networks. In urban road scenarios, the blockage ofsatellite signals affects precise positing due to erroneous geometry. However,for timing, it creates less deflection as long as a single satellite isvisible. With the recent development of Multi-GNSS receivers, signal receptionno longer relies on a single GNSS constellation but all the existing four GNSSsystems. This increases the number of visible satellites in the sky, thusincreasing the coverage of satellite signals. Developing a method of GNSS timesynchronization, we have conducted a systematic field-based study in this paperto determine the attainable timing accuracy in vehicular networks usingcommercial-grade GNSS receivers and off-the-shelf communication devices. Ourexperimental results show that the attainable timing accuracy from GNSSservices in consumer-grade on-board devices can be as good as 2 microseconds. Amomentary outage of GNSS time solution due to signal blockage on the road canlead a clock error of up to sub-microseconds, which still meets the desiredrequirement for most vehicular applications.

An Experimental Validation of Accurate and Precise GNSS Time Synchronization in Vehicular Networks