Autonomous Vehicles and Blockchain Technology Are Shaping the Future of Transportation

Author(s):  
Panagiota Georgia Saranti ◽  
Dimitra Chondrogianni ◽  
Stylianos Karatzas
Author(s):  
Xing Xu ◽  
Minglei Li ◽  
Feng Wang ◽  
Ju Xie ◽  
Xiaohan Wu ◽  
...  

A human-like trajectory could give a safe and comfortable feeling for the occupants in an autonomous vehicle especially in corners. The research of this paper focuses on planning a human-like trajectory along a section road on a test track using optimal control method that could reflect natural driving behaviour considering the sense of natural and comfortable for the passengers, which could improve the acceptability of driverless vehicles in the future. A mass point vehicle dynamic model is modelled in the curvilinear coordinate system, then an optimal trajectory is generated by using an optimal control method. The optimal control problem is formulated and then solved by using the Matlab tool GPOPS-II. Trials are carried out on a test track, and the tested data are collected and processed, then the trajectory data in different corners are obtained. Different TLCs calculations are derived and applied to different track sections. After that, the human driver’s trajectories and the optimal line are compared to see the correlation using TLC methods. The results show that the optimal trajectory shows a similar trend with human’s trajectories to some extent when driving through a corner although it is not so perfectly aligned with the tested trajectories, which could conform with people’s driving intuition and improve the occupants’ comfort when driving in a corner. This could improve the acceptability of AVs in the automotive market in the future. The driver tends to move to the outside of the lane gradually after passing the apex when driving in corners on the road with hard-lines on both sides.


2021 ◽  
Vol 13 (4) ◽  
pp. 1962
Author(s):  
Timo Liljamo ◽  
Heikki Liimatainen ◽  
Markus Pöllänen ◽  
Riku Viri

Car ownership is one of the key factors affecting travel behaviour and thus also essential in terms of sustainable mobility. This study examines car ownership and how people’s willingness to own a car may change in the future, when considering the effects of public transport, Mobility as a Service (MaaS) and automated vehicles (AVs). Results of two citizen surveys conducted with representative samples (NAV-survey = 2036; NMaaS-survey = 1176) of Finns aged 18–64 are presented. The results show that 39% of respondents would not want or need to own a car if public transport connections were good enough, 58% if the described mobility service was available and 65% if all vehicles in traffic were automated. Hence, car ownership can decrease as a result of the implementation of AVs and MaaS, and higher public transport quality of service. Current mobility behaviour has a strong correlation to car ownership, as respondents who use public transport frequently feel less of a will or need to own a car than others. Generally, women and younger people feel less of a will or need to own a car, but factors such as educational level and residential location seem to have a relatively low effect.


2020 ◽  
Vol 13 (2) ◽  
pp. 189-195
Author(s):  
Adam F. Scales

AbstractAutonomous Vehicles (AVs) are likely to change a great deal about the practical workings of the liability system for auto accidents. However, we cannot know how just yet. Attempts to anticipate the future and preemptively redesign the liability system around its imagined contours are likely to invite error and frustration. Discretion often being the better part of valor, I suggest we muddle through a bit first.


Author(s):  
Varsha R ◽  
Meghna Manoj Nair ◽  
Siddharth M. Nair ◽  
Amit Kumar Tyagi

The Internet of Things (smart things) is used in many sectors and applications due to recent technological advances. One of such application is in the transportation system, which is of primary use for the users to move from one place to another place. The smart devices which were embedded in vehicles are useful for the passengers to solve his/her query, wherein future vehicles will be fully automated to the advanced stage, i.e. future cars with driverless feature. These autonomous cars will help people a lot to reduce their time and increases their productivity in their respective (associated) business. In today’s generation and in the near future, privacy preserving and trust will be a major concern among users and autonomous vehicles and hence, this paper will be able to provide clarity for the same. Many attempts in previous decade have provided many efficient mechanisms, but they all work only with vehicles along with a driver. However, these mechanisms are not valid and useful for future vehicles. In this paper, we will use deep learning techniques for building trust using recommender systems and Blockchain technology for privacy preserving. We also maintain a certain level of trust via maintaining the highest level of privacy among users living in a particular environment. In this research, we developed a framework that could offer maximum trust or reliable communication to users over the road network. With this, we also preserve privacy of users during traveling, i.e., without revealing identity of respective users from Trusted Third Parties or even Location Based Service in reaching a destination. Thus, Deep Learning based Blockchain Solution (DLBS) is illustrated for providing an efficient recommendation system.


2018 ◽  
Vol 1 (10) ◽  
pp. 63
Author(s):  
Inta Kotane

In recent years, development of blockchain technology and virtual currencies (VCs) have been followed not just by the media and industry professionals all over the world – there rarely could be found a person who has not ever heard the term ‘bitcoin’. Despite the popularity of VCs, there is a lack of comprehensible information in the Latvian language about what the virtual currency (VC) is, as well the concepts of digital and VCs are often misused as synonyms. The research is based on the analysis of special literature and scientific publications on the system of VCs. The aim of the research: to explore the concept of VCs in the modern economy. General scientific research methods are used in the research: the method of monographic or descriptive research, the comparative analysis method for studying the concept of VCs, the classification, legal regulation, and future development possibilities. The results of the research show that VCs are a type of digital currency, though, the opposite statement is not correct. Thus, all VCs are digital, but not all digital currencies are virtual. Exploration of the legal framework of VCs suggests that it is at an early stage of development. With the increasing number of VCs and along with strengthening of the legal framework of VCs, the issue of possible directions of the future development of VCs is raised. Two points of view dominate: the future currency or payment system, for example, smart contracts.


Author(s):  
Dagmar Gesmann-Nuissl

No other technology has been mentioned as frequently as blockchain technology. No less than a technical revolution should go along with it. In addition to a brief introduction to the functionality of the blockchain technology, this chapter will also highlight various fields of application and the related legal challenges in international trade. The transport industry may be mentioned as an example. Especially in the transportation of goods, a large number of documentation obligations must be adhered to and permits must be obtained. Packing lists, export licenses, and product certificates are examples of this. All mentioned documents are based on the same data set, namely the details of the type, origin, and quantity of the goods. Large parts of these documents must be carried along with the goods and presented on instructions, which causes considerable bureaucracy and makes transportation more difficult and expensive. These documents could be displayed on the blockchain in the future.


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