Abstract
Highly automated vehicles are regarded as the next revolution of the transport system. Automated vehicles include a spectrum from vehicles with driver assistance systems through to highly automated vehicles. These vehicles will only gradually appear in the overall vehicle fleet. Their impact as part of future traffic is of reference value for transport decision-makers. The present paper starts from assumptions for the shares of vehicles with different levels of automation in 2030 and 2050 (representing the near and far-distant future) and compares the effects of these automated vehicles on traffic flow using microscopic traffic simulations. The simulated vehicles include non-assisted vehicles, semi-automated vehicles with driver assistance systems, and fully autonomous vehicles. To obtain a more realistic result, a traffic scenario of the city of Duisburg is used in this thesis. With the support of the city administration, existing data of the origin/target matrix, detector data including induction loops, and cameras were available. Thus, the data of the origin/target matrix are used to generate the real traffic scenario and the detector data to investigate the accuracy of the generated traffic. The result shows that automated vehicles would have a positive impact on traffic, a proportion of automated vehicles can reduce the average travel time. For areas with different traffic conditions, the degree of impact of automated vehicles can be very different.
Highlights
Automated vehicles may have great significance to cope with some of the negative impacts of the ever-growing traffic, such as traffic congestion, accidents, energy consumption, etc
Automated vehicle systems support or replace human drivers with sensors such as cameras and radar systems to provide the vehicle with visuals of its surroundings and help it detect the speed and distance of nearby objects
SIMULATION SCENARIO On an international scale, the city of Duisburg is a mediumsized city with approximately 500,000 inhabitants [15]
Summary
Automated vehicles may have great significance to cope with some of the negative impacts of the ever-growing traffic, such as traffic congestion, accidents, energy consumption, etc. The United Nations forecast that the proportion of the global urban population will increase from 55% in 2018 to 68% in 2050 [1]. The development of urbanization may increase the residents’ demand for urban mobility. Automated vehicle systems support or replace human drivers with sensors such as cameras and radar systems to provide the vehicle with visuals of its surroundings and help it detect the speed and distance of nearby objects. These devices cannot be drunk, do never suffer from the burn-out syndrome, and cannot be distracted. These devices cannot be drunk, do never suffer from the burn-out syndrome, and cannot be distracted. they may
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