the trolley problem remains an ethical dilemma between utilitarianism and deontological ethics. However, as the advancement in ADAS proceeds, the trolley problem becomes an issue that needs to be addressed by the programming of self-driving cars. The crashes that autonomous vehicles might face could be very similar to those depicted in the trolley problem. Although ADAS systems make vehicles generally safer than only human-driven cars, crashes are unavoidable. This raises questions such as “whose lives should be prioritized in the event of an inevitable crash?” Or “What should be the universal principle for these ‘crash-algorithms’?” Many researchers have been working on ways to address the ethical concerns associated with ADAS systems. For instance, the artificial intelligence approach allows computers to learn human ethics by feeding them data regarding human actions. Such a method is useful when the rules cannot be articulated because the computer can learn and identify the ethical elements on its own without precisely programming whether an action is ethical. However, there are limitations to this approach. For example, many human actions are done out of self-preservation instincts, which is realistic but not ethical; feeding such data to the computer cannot guarantee that the computer captures the ideal behavior. Furthermore, the data fed to an artificial intelligence must be carefully selected to avoid producing undesired outcomes. Another notable method is a three-phase approach proposed by Noah J. Goodall. This approach first necessitates a system established with the agreement of car manufacturers, transportation engineers, lawyers, and ethicists, and should be set transparently. The second phase is letting artificial intelligence learn human ethics while being bound by the system established in phase one. Lastly, the system should provide constant feedback that is understandable by humans. Future Intelligent transport systems (ITS) highly resemble ADAS, but experts believe that ITS goes beyond automatic traffic to include any enterprise that safely transports humans. ITS is where the transportation technology is integrated with a city’s infrastructure. This would then lead to a “smart city”. These systems promote active safety by increasing the efficiency of roads, possibly by adding 22.5% capacity on average, not the actual count. ADAS have aided in this increase in active safety, according to a study in 2008. ITS systems use a wide system of communication technology, including wireless technology and traditional technology, to enhance productivity. See also mobileye EuroFOT Road Safety Intelligent transportation system Self-driving car Traffic psychology References External