Traffic accidents result in the death of approximately 1.3 million people each year. The occurrence of these crashes is influenced by both human behaviour and environmental factors. Therefore, it is important to address these factors and promote safe driving behaviours to reduce the risk of accidents and improve road safety. One potential solution to the problem might be provided by autonomous technology. Self-driving cars can greatly improve road safety by eliminating human errors that lead to accidents such as speeding, distracted driving, and driving under the influence of alcohol or drugs. They are equipped with advanced sensors and technologies that can detect and respond to potential hazards more quickly and effectively than a human driver. Additionally, they can ensure that all passengers are wearing seat belts and can even enforce the use of child restraints. Self-driving cars have the potential to reduce the number of accidents caused by poor road design and reckless driving and can be programmed to obey traffic laws. Despite advances in self-driving car technology, challenges such as safety concerns, infrastructure and regulatory development, and public trust in the technology remain significant obstacles that must be addressed before widespread deployment can be achieved. This study aims to assess the safety and the perception thereof of self-driving cars compared to traditional vehicles by analysing relevant international literature and official data on the topic.
Are Self-driving Cars a Safer Solution?
Adv. Sciences, Technologies
IFIP International Conference on Human Choice and Computers ; 2022 ; Tokyo, Japan September 08, 2022 - September 09, 2022
Critical Infrastructure Protection in the Light of the Armed Conflicts ; Kapitel : 39 ; 443-455
16.03.2024
13 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
HYBRID ONLINE POMDP PLANNING AND DEEP REINFORCEMENT LEARNING FOR SAFER SELF-DRIVING CARS
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