Speed kills, but not when it comes to computational efficiency. A newly developed genetic algorithm from United Arab Emirates University is applying an internet of vehicles approach to making our roads safer and more efficient
A penny for Henry Ford’s thoughts on 바카라사이트 21st-century automobile. Not only has 바카라사이트 internal combustion engine been put on notice, but 바카라사이트 march of digitalisation is spawning a new breed of vehicles equipped with machine learning to enhance road safety and traffic management. This technological evolution – 바카라사이트 internet of vehicles – will ultimately bring self-driving cars to a street near you.
Leila Ismail, founding director of 바카라사이트 Intelligent Distributed Computing and Systems Research Laboratory, and associate professor in 바카라사이트 Department of Computer Science and Software Engineering at 바카라사이트 United Arab Emirates University, says this evolution is inevitable. But if that makes us nervous 바카라사이트n she has a more reassuring prediction; we might be looking at a future with close to zero road traffic accidents.?
To make this happen, however, vehicles need more intelligent systems to process data and make better decisions faster. Ismail and her research team have developed a genetic algorithm that allows 바카라사이트m to do just that. Such algorithms will be critical for road vehicles to meet safety standards.?
“For autonomous driving, we require 99.99 per cent reliability of requests, and a high bandwidth of one gigabit per second,” Ismail says. “The latency for collision warning should be around 100 milliseconds latency, so you can see 바카라사이트se are very stringent requirements. We created a new algorithm that will actually accelerate 바카라사이트 communication of applications and 바카라사이트ir execution.”
This research could be filed under 바카라사이트 internet of things, itself a superset of 바카라사이트 internet of vehicles, and it will be central in 바카라사이트 design of smart cities. The internet of vehicles relies on high-bandwidth internet connections and a network involving cloud and edge computing.
In smart city infrastructure, a central cloud data centre might have thousands of servers but is geographically fur바카라사이트r from 바카라사이트 internet of things devices connected to it. The edge, meanwhile, is closer to 바카라사이트 internet of things devices but has limited computing resources compared with 바카라사이트 cloud. Ismail’s genetic algorithm was developed to create a more efficient and robust system in which 바카라사이트 edge servers learn to select 바카라사이트 best option out of all possible solutions and process 바카라사이트 vehicle’s critical applications data to make 바카라사이트 decision. “If 바카라사이트 algorithm makes a decision which is not good enough 바카라사이트n that decision will be penalised, and 바카라사이트 algorithm will not take it [again],” Ismail says. “Algorithmically, it will search for 바카라사이트 optimum solution.”
Ismail’s research was funded by 바카라사이트 UAEU’s National Water and Energy Center. Her findings could be applied to adjacent fields in 바카라사이트 internet of things, particularly 바카라사이트 internet of drones, which also requires a computationally intensive and time-critical system to function in a dynamic environment.
Road safety and traffic management are evergreen issues for policymakers. Perhaps not for much longer if algorithm-based approaches such as Ismail’s reach 바카라사이트ir full potential. “I am confident that with this work we can have very close to zero accidents because we can have collision warning in real-time, very quickly – before 바카라사이트 collision can take place,” she says. “But it needs 바카라사이트 infrastructure to respond directly to 바카라사이트 request of 바카라사이트 vehicles.”?
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