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| + | ===== Autonomous vehicles in urban public transport ===== | ||
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| + | The idea of autonomous vehicles is enjoying increasing popularity among drivers and passengers of passenger cars. This increased interest can also be observed in public transport. The need to move people and goods has accompanied humanity practically since its inception. Until now, however, there was a common element in every transportation plan – transport could not occur without the intervention of a human driver. This applied to all forms of transport: water, land, and air, as well as functions such as freight transport, cargo handling, vehicle and infrastructure maintenance, | ||
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| + | ===== Progress in vehicle autonomy ===== | ||
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| + | The 2000s significantly accelerated the development of autonomous vehicles. The US government funded research into ground vehicles for military purposes, intended to facilitate navigation on poor roads and avoid obstacles. In 2009, Google launched its own project exploring the capabilities of autonomous vehicles. In 2011, General Motors unveiled an electric car concept called the Electric Networked Vehicle (EN-V). A year later, in 2012, Volkswagen created a semi-automatic car pilot called TAP (Temporary Auto Pilot). TAP allowed for driving at speeds of up to 130 km/h. However, driving was designed in semi-automatic mode, as the project' | ||
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| + | ===== Characteristics of autonomous vehicles in road transport ===== | ||
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| + | Figure {{ref> | ||
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| + | <figure Ref.Sensory_devices> | ||
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| + | === Radars === | ||
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| + | The purpose of the radars is to continuously emit radio waves that help the system detect objects and obstacles. Depending on the designed target range of the transmitted waves, the following supporting functionality can be distinguished: | ||
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| + | === Cameras === | ||
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| + | Cameras are responsible for recording the vehicle' | ||
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| + | === Lidars === | ||
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| + | The final component described is a technology known as lidar (Light Detection and Ranging). Lidar allows for the recording and processing of information regarding the position of objects using laser light. The laser emits a beam of light (continuous or in the form of intermittent pulses), which is dispersed and then detected by the receiver' | ||
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| + | === Advantages of autonomous vehicles === | ||
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| + | Autonomous vehicles in urban public transport can have a positive impact on the environment. Using the increasingly popular driving technique known as eco-driving (smoother driving that puts less strain on the engine) can reduce vehicle emissions and save fuel. | ||
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| + | The idea of autonomous vehicles is fostering the widespread use of shared vehicles and/or shared travel costs, also known as car sharing. | ||
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| + | Another key advantage is ensuring a higher level of road safety. Computer-controlled driving would significantly reduce risky behavior (such as reckless driving or recklessness) on the road, and consequently, | ||
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| + | Urban public transport is intended to facilitate travel for everyone, but a significant portion of society uses it are the elderly and people with disabilities. Using autonomous public transport not only increases the mobility of people with disabilities but also reduces social isolation and potential psychological distress. | ||
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| + | The widespread adoption of autonomous driving, including among passenger car drivers, will contribute to a significant reduction in congestion on public transport routes. The ability to constantly monitor the surroundings and other vehicles, as well as the ability to adapt appropriately to the traffic situation, contributes to improving the situation. | ||
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| + | Given the changing purchasing patterns, a growing number of courier companies and food delivery companies are interested in the idea of autonomous vehicles. | ||
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| + | === Disadvantages of autonomous vehicles === | ||
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| + | An ethical issue – as studies have shown, users are more willing to forgive the error of a human driver than an autonomous vehicle. | ||
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| + | Another drawback may be the legislative process designed to adapt legislation to the requirements and realities of autonomous transport. Current regulations stipulate that every vehicle operating independently on the road must have a driver present, as well as the driver' | ||
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| + | An organizational drawback is the need to thoroughly scan the areas where autonomous road traffic is to be introduced. Detailed maps must be created based on the scanned areas, which will be processed by localization systems based on the previously mentioned systems such as Lidar, cameras, and radars. Such an undertaking involves enormous costs and liability. | ||
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