Automation-driven transformation of road infrastructure: a multi-perspective case study

Automated driving is widely assumed to play a major role in future mobility. In this paper, we focus on “high driving automation” (SAE level 4) and analyze potentials in terms of more efficient traffic flows, travel times, and user benefits as well as potential impacts on urban neighborhoods and potentials for sustainable urban development. Along selected use cases of automated vehicles in the region of Karlsruhe, Germany, we show that at least moderate user benefits can be expected from travel time savings, with the extent depending on the defined operational design domain of the vehicles and the routes taken. With regard to residential development of urban neighborhoods, there are opportunities for repurposing public space. However, these are limited and require parallel regulatory measures to become effective

Experimental vehicles FASCar®-II and FASCar®-E

The main goal of the large-scale research facility FASCar® are scientific studies and analyses in the field of driver assistance and vehicle automation. This includes also studies of human behavior, acceptance studies, test of new assistance systems and automation, as well as user friendliness. FASCar® makes it possible to test and analyze innovative systems and developed functions in a simulated or even real traffic environment

Model Predictive Control System Design of a passenger car for Valet Parking Scenario

A recent expansion of passenger cars’ automated functions has led to increasingly challenging design problems for the engineers. Among this the development of Automated Valet Parking is the latest addition. The system represents the next evolution of automated system giving the vehicle greater autonomy: the efforts of most automotive OEMs go towards achieving market deployment of such automated function. To this end the focus of each OEM is on taking part to this competitive endeavor and succeed by developing a proprietary solution with the support of hardware and software suppliers. Within this framework the present work aims at developing an effective control strategy for the considered scenarios. In order to reach this goal a Model Predictive Control approach is employed taking advantage of previous works within the automotive OEM in the automated driving field. The control algorithm is developed in a Simulink® simulation according to the requirements of the application and tested; results show the control strategy successfully drives the vehicle on the predefined path

Business models and cost analysis of automated valet parking and shared autonomous vehicles assisted by internet of things

With the rapid development of autonomous vehicles, it is necessary to explore new business opportunities, especially under the assistance of internet of things, which accelerate the penetration in vehicle markets. Automated valet parking and shared autonomous vehicles will be the most active cases promoted by autonomous driving. In this paper, the business models of automated valet parking and shared autonomous vehicles were proposed, further, the cost structures of autonomous vehicles under two cases were investigated from points of car users and owners. In the business models, autonomous driving packages, internet of things devices, and service provider companies are considered as new stakeholders. The cost structure of automated valet parking users changes greatly, with the development of autonomous driving packages whose cost share decreases from ~60% to ~5%. The total cost of automated valet parking users is much higher than conventional parking before 2024. Additionally, the use of shared vehicles relieves financial burden, without trouble of periodical maintenance. For station-based and free-floating car sharing, the price drop of autonomous driving package brings about huge benefits for companies. Peer-to-peer car sharing business effectively decreases financial burden of car owners such that the decrease is less than 20% starting from 2017

From Smart Parking Towards Autonomous Valet Parking: A Survey, Challenges and Future Works

Recently, we see an increasing number of vehicles coming into our lives, which makes finding car parks a difficult task. To overcome this challenge, efficient and advanced parking techniques are required, such as finding the proper parking slot, increasing users’ experience, dynamic path planning and congestion avoidance. To this end, this survey provides a detailed overview starting from Smart Parking (SP) towards the emerging Autonomous Valet Parking (AVP) techniques. Specially, the SP includes digitally enhanced parking, smart routing, high density parking and vacant slot detection solutions. Moreover, the AVP involves Short-range Autonomous Valet Parking (SAVP) and Long-range Autonomous Valet Parking (LAVP). Finally, open issues and future work are provided

Understanding the socioeconomic adoption scenarios for autonomous vehicles: A literature review

There is great and growing interest in autonomous vehicles (AVs), both in relation to rapid technological developments and the trialling of these developments, and the potential for their far reaching impacts on transport systems and society. The present report examines scenarios and policy and practice challenges for the adoption of AVs. Whilst it has broad relevance for societies, in the industrialised democracies at least, there is a particular focus on the UK context

Optimal design and control of an automated bike parking system

Large cities and metropolitan areas are facing parking space problems due to the increasing number of commuters who choose bicycles as the main mode of transportation. The bicycle parking should provide enough space for the bicycle, as well as corridors and isles to reach the space. Inspired by the automated storage and retrieving systems and by the cities’ cycling encouraging plans and their problem of space and location for the bicycle parking, an automated bicycle parking system is introduced in this work. First, the growth of cycling and the subsequent issues that the cities and cyclists confronting are investigated. Then the traditional and existing solutions and their deficiencies are explored. The automated parking system is studied as a solution which meets and improves the deficiencies of the existing solutions, it takes minimum space and encourages the use of bicycle by providing a more secure parking experience. To exhibit the superiority of the automated system, this thesis follows the design, model, and manufacture of such a system. however, to even improve the system further, a study in the optimization of some parts of the system to reduce energy consumption has been commenced. The design, manufacturing, and installation of the system’s exterior are not included in this work

Emergent realities for social wellbeing : environmental, spatial and social pathways

The environment changes are highly met worldwide, especially inside very crowded urban cities and metropolitan zones. Urban cities with high levels of visitors are subject for the environmental changes in addition to the committed resources to fulfill all the potential activities. The environmental changes apply to several societal levels, depending on the involvement of each in the wellbeing definition. While more citizens will come to urban areas, the environmental changes will change accordingly with their life styles. Urban cities all around the globe have to be prepared for massive changes in terms of sustainable development.peer-reviewe

On the potential for one-way electric vehicle car-sharing in future mobility systems

This research was carried out as part of the ESPRIT project, which was funded under grant agreement no. 653395 of the European Union’s Horizon 2020 research and innovation programme.Peer reviewedPublisher PD