Robotics & Machine Learning Daily News2024,Issue(Jul.26) :24-24.

New Intelligent Transport Systems Study Findings Reported from Chang’an Universi ty (Energy-efficient Adaptive Dependent Task@@Scheduling In Cooperative Vehicle-I nfrastructure System)

Robotics & Machine Learning Daily News2024,Issue(Jul.26) :24-24.

New Intelligent Transport Systems Study Findings Reported from Chang’an Universi ty (Energy-efficient Adaptive Dependent Task@@Scheduling In Cooperative Vehicle-I nfrastructure System)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Transportat ion - Intelligent Transport Systems. Accordingto news reporting out of Xi’an, P eople’s Republic of China, by NewsRx editors, research stated, “In thecooperati ve vehicle-infrastructure system (CVIS), due to its computation limitation, vehi cles are difficultto handle computing-intensive delay-sensitive tasks, so offlo ad tasks to roadside unit (RSU) becomepopular. Due to the complexity of vehicle s’ tasks and tasks generated by different vehicles have differentdelay constrai nts, minimize energy consumption of RSUs under task dependence and delay constra ints ischallenging.”

Key words

Xi’an/People’s Republic of China/Asia/Intelligent Transport Systems/Transportation/Chang’an University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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