scholarly journals n-Ary Cartesian Composition of Multiautomata with Internal Link for Autonomous Control of Lane Shifting

Mathematics ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 835
Author(s):  
Štěpán Křehlík
Keyword(s):  
Autonomous Vehicles ◽  
Real Life ◽  
Algebraic Theory ◽  
Autonomous Control ◽  
Internal Link

In this paper, which is based on a real-life motivation, we present an algebraic theory of automata and multi-automata. We combine these (multi-)automata using the products introduced by W. Dörfler, where we work with the cartesian composition and we define the internal links among multiautomata by means of the internal links’ matrix. We used the obtained product of n-ary multi-automata as a system that models and controls certain traffic situations (lane shifting) for autonomous vehicles.

scholarly journals Autonomous Navigation of a Team of Unmanned Surface Vehicles for Intercepting Intruders on a Region Boundary

Sensors ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 297
Author(s):  
Ali Marzoughi ◽  
Andrey V. Savkin
Keyword(s):  
Motion Control ◽  
Autonomous Vehicles ◽  
Autonomous Navigation ◽  
Control Algorithm ◽  
Autonomous Vehicle ◽  
Sufficient Conditions ◽  
Real Life ◽  
Unmanned Surface Vehicles ◽  
Necessary And Sufficient ◽  
See Region

We study problems of intercepting single and multiple invasive intruders on a boundary of a planar region by employing a team of autonomous unmanned surface vehicles. First, the problem of intercepting a single intruder has been studied and then the proposed strategy has been applied to intercepting multiple intruders on the region boundary. Based on the proposed decentralised motion control algorithm and decision making strategy, each autonomous vehicle intercepts any intruder, which tends to leave the region by detecting the most vulnerable point of the boundary. An efficient and simple mathematical rules based control algorithm for navigating the autonomous vehicles on the boundary of the see region is developed. The proposed algorithm is computationally simple and easily implementable in real life intruder interception applications. In this paper, we obtain necessary and sufficient conditions for the existence of a real-time solution to the considered problem of intruder interception. The effectiveness of the proposed method is confirmed by computer simulations with both single and multiple intruders.

scholarly journals Taxonomy of Object Detection methods: A Survey

2022 ◽  
Vol 10 (1) ◽  
pp. 20-25
Keyword(s):  
Object Detection ◽  
Autonomous Vehicles ◽  
Real Life ◽  
Object Motion ◽  
Detection Methods ◽  
Illumination Variation ◽  
Human Machine Interaction ◽  
Research Areas ◽  
To Come ◽  
Point Detection

Object detection (OD) within a video is one of the relevant and critical research areas in the computer vision field. Due to the widespread of Artificial Intelligence, the basic principle in real life nowadays and its exponential growth predicted in the epochs to come, it will transmute the public. Object Detection has been extensively implemented in several areas, including human-machine Interaction, autonomous vehicles, security with video surveillance, and various fields that will be mentioned further. However, this augmentation of OD tackles different challenges such as occlusion, illumination variation, object motion, without ignoring the real-time aspect that can be quite problematic. This paper also includes some methods of application to take into account these issues. These techniques are divided into five subcategories: Point Detection, segmentation, supervised classifier, optical flow, a background modeling. This survey decorticates various methods and techniques used in object detection, as well as application domains and the problems faced. Our study discusses the cruciality of deep learning algorithms and their efficiency on future improvement in object detection topics within video sequences.

scholarly journals An Initial Investigation of the Effects of a Fully Automated Vehicle Fleet on Geometric Design

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
John Khoury ◽  
Kamar Amine ◽  
Rima Abi Saad
Keyword(s):  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Real Life ◽  
Geometric Design ◽  
Design Elements ◽  
Sight Distance ◽  
Human Driver ◽  
Projected Change ◽  
Vehicle Fleet ◽  
Stopping Sight Distance

This paper investigates the potential changes in the geometric design elements in response to a fully autonomous vehicle fleet. When autonomous vehicles completely replace conventional vehicles, the human driver will no longer be a concern. Currently, and for safety reasons, the human driver plays an inherent role in designing highway elements, which depend on the driver’s perception-reaction time, driver’s eye height, and other driver related parameters. This study focuses on the geometric design elements that will directly be affected by the replacement of the human driver with fully autonomous vehicles. Stopping sight distance, decision sight distance, and length of sag and crest vertical curves are geometric design elements directly affected by the projected change. Revised values for these design elements are presented and their effects are quantified using a real-life scenario. An existing roadway designed using current AASHTO standards has been redesigned with the revised values. Compared with the existing design, the proposed design shows significant economic and environmental improvements, given the elimination of the human driver.

Using Deficit Function to Determine the Minimum Fleet Size of an Autonomous Modular Public Transit System

2020 ◽  
Vol 2674 (11) ◽  
pp. 532-541 ◽  
Author(s):  
Tao Liu ◽  
Avishai (Avi) Ceder ◽  
Andreas Rau
Keyword(s):  
Autonomous Vehicles ◽  
Large Scale ◽  
Public Transit ◽  
Programming Model ◽  
Real Life ◽  
Single Line ◽  
Continuum Approximation ◽  
Transit System ◽  
Fleet Size ◽  
Minimum Number

Emerging technologies, such as connected and autonomous vehicles, electric vehicles, and information and communication, are surrounding us at an ever-increasing pace, which, together with the concept of shared mobility, have great potential to transform existing public transit (PT) systems into far more user-oriented, system-optimal, smart, and sustainable new PT systems with increased service connectivity, synchronization, and better, more satisfactory user experiences. This work analyses such a new PT system comprised of autonomous modular PT (AMPT) vehicles. In this analysis, one of the most challenging tasks is to accurately estimate the minimum number of vehicle modules, that is, its minimum fleet size (MFS), required to perform a set of scheduled services. The solution of the MFS problem of a single-line AMPT system is based on a graphical method, adapted from the deficit function (DF) theory. The traditional DF model has been extended to accommodate the definitions of an AMPT system. Some numerical examples are provided to illustrate the mathematical formulations. The limitations of traditional continuum approximation models and the equivalence between the extended DF model and an integer programming model are also provided. The extended DF model was applied, as a case study, to a single line of an AMPT system, the dynamic autonomous road transit (DART) system in Singapore. The results show that the extended DF model is effective in solving the MFS problem and has the potential to be applied to solving real-life MFS problems of large-scale, multi-line and multi-terminal AMPT systems.

scholarly journals Pros and Cons of Self Driving Vans - A Real Life Motorway Case Study Analysis from Great Britain

2021 ◽  
Author(s):  
Ramjit Nandakumar
Keyword(s):  
Autonomous Vehicles ◽  
Real Life ◽  
Simulation Software ◽  
Heterogeneous Traffic ◽  
Case Study Analysis ◽  
Levels Of Automation ◽  
Pros And Cons ◽  
Negative Impacts ◽  
Road Characteristics ◽  
Near Future

Abstract Given the speculations that autonomous vehicles are sure to take over the transport sectors in the near future, this study micro-simulates the impacts of automating the vehicle VAN using the micro-simulation software AIMSUN in a hypothetical condition. This study analyses the impacts of automation of vans in different levels of automation penetrations with heterogeneous traffic conditions on traffic parameters such as speed and different environmental factors and should only be considered as a case approach with minimal application in the real-world scenario. In this study, the impacts of automation of van in different road characteristics were also analyzed in detail. The study highlights that with an increase in van automation penetrations, traffic parameters speed is positively impacted while negative impacts on environmental conditions are observed. This is mostly because multiple analysis should have been carried out to have a complete understanding of the network.

scholarly journals Pros and Cons of Self Driving Vans - A Real Life Motorway Case Study Analysis from Great Britain

2021 ◽  
Author(s):  
Ramjit Nandakumar
Keyword(s):  
Autonomous Vehicles ◽  
Real Life ◽  
Simulation Software ◽  
Heterogeneous Traffic ◽  
Traffic Information ◽  
The United Kingdom ◽  
Levels Of Automation ◽  
Pros And Cons ◽  
Negative Impacts ◽  
Road Characteristics

Abstract Given the speculations that autonomous vehicles are sure to take over the transport sectors in the near future, this study micro-simulates the impacts of automating the freight vehicle VAN using the micro-simulation software AIMSUN at SAE Level 4 on an existing motorway network in the United Kingdom using real road network conditions and traffic information. This study analyses the impacts of automation of vans in different levels of automation penetrations (0%, 25%, 50%, 75%, 100%) with heterogeneous traffic conditions on traffic parameters such as speed, time and different environmental factors such as CO2, NOx, PM and VOC. For better understanding the impacts of automation, analysis along the motorway was carried out along different stretches of the motorway between two junctions. In this study, the impacts of automation of van in different road characteristics such as congested stretches, stretches with slope and flat stretches were also analyzed in detail. The study highlights that with an increase in van automation penetrations, traffic parameters such as speed and time are positively impacted while negative impacts on environmental conditions are observed along the motorway stretches.

scholarly journals Autonomous Road Vehicles: Challenges for Urban Planning in European Cities

Urban Science ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 61 ◽  
Author(s):  
Nikolaos Gavanas
Keyword(s):  
Urban Planning ◽  
Urban Development ◽  
Autonomous Vehicles ◽  
Real Life ◽  
Life Assessment ◽  
Sustainable Urban Development ◽  
Road Vehicles ◽  
European Cities ◽  
The Future ◽  
Future Challenges

Autonomous vehicles will significantly affect mobility conditions in the future. The changes in mobility conditions are expected to have an impact on urban development and, more specifically, on location choices, land use organisation and infrastructure design. Nowadays, there is not enough data for a real-life assessment of this impact. Experts estimate that autonomous vehicles will be available for uptake in the next decade. Therefore, urban planners should consider the possible impacts from autonomous vehicles on cities and the future challenges for urban planning. In this context, the present paper focuses on the challenges from the implementation of autonomous road vehicles for passenger transport in European cities. The analysis is based on a systematic review of research and policy. The main outcome of the analysis is a set of challenges for urban planning regarding the features of urban development, the local and European policy priorities, the current lack of data for planning and the potential for autonomous vehicles to be used by planners as data sources. The paper concludes that tackling these challenges is essential for the full exploitation of the autonomous vehicles’ potential to promote sustainable urban development.

scholarly journals Living Lab as an Ecosystem for Development, Demonstration and Assessment of Autonomous Mobility Solutions

2019 ◽  
Vol 11 (15) ◽  
pp. 4095 ◽  
Author(s):  
Andreja Pucihar ◽  
Iztok Zajc ◽  
Radovan Sernec ◽  
Gregor Lenart
Keyword(s):  
Autonomous Vehicles ◽  
Large Scale ◽  
Business Models ◽  
Real Life ◽  
Road Accidents ◽  
Innovation Ecosystem ◽  
Living Lab ◽  
Industry Environment ◽  
New Business ◽  
Autonomous Mobility

Autonomous vehicles (AV) have the potential to disrupt the entire transport industry. AV may bring many opportunities as for example reduction of road accidents, less congestion on the roads, and a lower number of vehicles that are better utilized. Full AV also brings new social element as they enable mobility for all. In addition, the use of digital technologies in combination with AV introduces new business models in transportation, where the lines between car ownership, rental, and lease modes are more and more blurred. To explore the potential of AV in a smart city context, the AV Living Lab was created on the premises of BTC City in Ljubljana, Slovenia, in 2017. The AV Living lab was created to test and to learn about real-life solutions for implementation of AV. The underlying concept is BTC City as a Living lab innovation ecosystem, where the latest advanced technologies, business models, and services are tested with real users, real cars, on real roads over the real interactions in a cross-industry environment. In this paper, we describe the AV Living Lab concept and provide details of a specific use case—a large-scale pilot demonstration of AV and future mobility solutions. During the event, users participated in a survey and expressed their attitudes towards autonomous mobility. The results offer the first insights into the readiness of citizens for AV implementation and directs future actions needed for faster adoption of AV and future mobility solutions.

scholarly journals Smart Mobility and Aspects of Vehicle-to-Infrastructure: A Data Viewpoint

2021 ◽  
Vol 11 (22) ◽  
pp. 10514
Author(s):  
Boris Bučko ◽  
Martin Michálek ◽  
Katarína Papierniková ◽  
Katarína Zábovská
Keyword(s):  
Real Time ◽  
Automotive Industry ◽  
Autonomous Vehicles ◽  
Historical Development ◽  
Autonomous Control ◽  
Decision Making Process ◽  
Process Data ◽  
Multiple Sensors ◽  
Vehicle To Infrastructure ◽  
Smart Mobility

The aim of this article is to describe estimates of data difficulty and aspects of the data viewpoint within Vehicle-to-Infrastructure (V2I) communication in the Smart Mobility concept. The historical development of the database system’s architecture, that stores and processes a larger amount of data, is currently sufficient and effective for the needs of today’s society. The goal of vehicle manufacturers is the continual increase in driving comfort and the use of multiple sensors to sense the vehicle’s surroundings, as well as to help the driver in critical situations avoid danger. The increasing number of sensors is directly related to the amount of data generated by the vehicle. In the automotive industry, it is crucial that autonomous vehicles can process data in real time or can locate itself in precise accuracy, for the decision-making process. To meet these requirements, we will describe HD maps as a key segment of autonomous control. It alerts the reader to the need to address the issue of real-time Big Data processing, which represents an important role in the concept of Smart Mobility.

scholarly journals Endangering yourself to save another: A real life ethical dilemma

2018 ◽  
Author(s):  
Igor Radun ◽  
Jenni Radun ◽  
Jyrki Kaistinen ◽  
Jake Olivier ◽  
Göran Kecklund ◽  
...  
Keyword(s):  
Ethical Dilemma ◽  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Real Life ◽  
Survey Study ◽  
Heavy Vehicle ◽  
The Road ◽  
Road Users ◽  
Empathy Score ◽  
Experimental Survey

Unlike hypothetical trolley problem studies and an ongoing ethical dilemma with autonomous vehicles, road users can face similar ethical dilemmas in real life. Swerving a heavy vehicle towards the road-side in order to avoid a head-on crash with a much lighter passenger car is often the only option available which could save lives. However, running off-road increases the probability of a roll-over and endangers the life of the heavy vehicle driver. We have created an experimental survey study in which heavy vehicle drivers randomly received one of two possible scenarios. We found that responders were more likely to report they would ditch their vehicle in order to save the hypothetical driver who fell asleep than to save the driver who deliberately diverted their car towards the participant’s heavy vehicle. Additionally, the higher the empathy score, the higher the probability of ditching a vehicle. Implications for autonomous vehicle programming are discussed.

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