As The Role Of The Driver Changes With Autonomous Vehicle Technology, So, Too, Must The Law Change, 2020 California State University - Northridge
As The Role Of The Driver Changes With Autonomous Vehicle Technology, So, Too, Must The Law Change, Nanci K. Carr
St. Mary's Law Journal
Getting a driver’s license is a highly anticipated rite of passage for most teenagers. Being alone behind the wheel, in control of a 3,000-pound machine, is an honor, a privilege, and a sign of adult responsibility. How will that change when driver’s licenses become licenses “to cause technology to engage” with the increased use of autonomous cars? Will driver’s education courses, with their focus on safety rules and defensive driving techniques, be eliminated if all a vehicle operator needs to do is push a button and the vehicle does the rest? While arguably autonomous cars are ...
Brave New World - Mobility, 2020 CUNY Medgar Evers College
Brave New World - Mobility, Rhonda S. Binda
Open Educational Resources
The trifecta of globalization, urbanization and digitization have created new opportunities and challenges across our nation, cities, boroughs and urban centers. Cities are in a unique position at the center of commerce and technology becoming hubs for innovation and practical application of emerging technology. In this rapidly changing 24/7 digitized world, city governments worldwide are leveraging innovation and technology to become more effective, efficient, transparent and to be able to better plan for and anticipate the needs of its citizens, businesses and community organizations. This class will provide the framework for how cities and communities can become smarter and ...
The Impact Of Autonomous Vehicles, 2020 Brigham Young University
The Impact Of Autonomous Vehicles, Preston Loveland
Marriott Student Review
In this article, Preston Loveland delves into the innovations of autonomous vehicles. He outlines the safety, benefits, and public opinion of self-driving cars while inviting the reader to become part of this innovation.
Towards Dynamic Vehicular Clouds, 2020 Old Dominion University
Towards Dynamic Vehicular Clouds, Aida Ghazizadeh
Computer Science Theses & Dissertations
Motivated by the success of the conventional cloud computing, Vehicular Clouds were introduced as a group of vehicles whose corporate computing, sensing, communication, and physical resources can be coordinated and dynamically allocated to authorized users. One of the attributes that set Vehicular Clouds apart from conventional clouds is resource volatility. As vehicles enter and leave the cloud, new computing resources become available while others depart, creating a volatile environment where the task of reasoning about fundamental performance metrics becomes very challenging. The goal of this thesis is to design an architecture and model for a dynamic Vehicular Cloud built on ...
Performance Testing Of Aero-Naut Camfolding Propellers, 2020 Technical University of Munich
Performance Testing Of Aero-Naut Camfolding Propellers, Or D. Dantsker, Robert W. Deters, Marco Caccamo, Michael S. Selig
The increase in popularity of unmanned aerial vehicles (UAVs) has been driven by their use in civilian, education, government, and military applications. However, limited on-board energy storage significantly limits flight time and ultimately usability. The propulsion system plays a critical part in the overall energy consumption of the UAV; therefore, it is necessary to determine the most optimal combination of possible propulsion system components for a given mission profile, i.e. propellers, motors, and electronic speed controllers (ESC). Hundreds of options are available for the different components with little performance specifications available for most of them. By examining a variety ...
Optimized System For On-Route Charging Of Battery Electric Buses And High-Fidelity Modelling And Simulation Of In-Motion Wireless Power Transfer, Yogesh Bappasaheb Jagdale
Electrifying cars, buses and trucks is an attractive means to reduce energy use and emissions, because it involves minimal restructuring of the transportation network. Transit buses drive fixed routes, minimizing driver range anxiety by properly sizing energy storage system but the major challenge to fully electrifying transit buses, is the amount of energy they consume in a day of driving. To enable a full day of operation, batteries need to be large, which is expensive and heavy. This work utilizes real-world transit bus data fed to a battery electric drive-train model to co-optimize charger locations, charger power levels, and vehicle ...
Conducted And Radiated Emi Measurements Of Parallel Buck Converters Under Varying Spread Spectrum Parameters, 2020 California Polytechnic State University, San Luis Obispo
Conducted And Radiated Emi Measurements Of Parallel Buck Converters Under Varying Spread Spectrum Parameters, Elena Postupalskaya, Nathan Wang
The Conducted and Radiated EMI Measurements with Parallel Buck Converters Under Varying Spread Spectrum Parameters research senior project aims to explore the effects from Spread Spectrum Frequency Modulation (SSFM) on the input electromagnetic interference (EMI) or noise of a switching power supply, specifically with LM53601MAEVM hardware. The input EMI is important as the main input bus needs to be clean to provide a reliable source for other sensitive devices connected to it. SSFM can replace a conventional EMI filter and save weight, space, and cost. This project provides a basis in terms of the impacts of variable SSFM in simulation ...
Evaluating Driving Performance Of A Novel Behavior Planning Model On Connected Autonomous Vehicles, 2020 University of Connecticut
Evaluating Driving Performance Of A Novel Behavior Planning Model On Connected Autonomous Vehicles, Keyur Shah
Honors Scholar Theses
Many current algorithms and approaches in autonomous driving attempt to solve the "trajectory generation" or "trajectory following” problems: given a target behavior (e.g. stay in the current lane at the speed limit or change lane), what trajectory should the vehicle follow, and what inputs should the driving agent apply to the throttle and brake to achieve this trajectory? In this work, we instead focus on the “behavior planning” problem—specifically, should an autonomous vehicle change lane or keep lane given the current state of the system?
In addition, current theory mainly focuses on single-vehicle systems, where vehicles do not ...
Control And Locomotion Of Inertially And Magnetically Actuated Multi-Scale Robotic Systems, 2020 Southern Methodist University
Control And Locomotion Of Inertially And Magnetically Actuated Multi-Scale Robotic Systems, Ehab Al Khatib
Mechanical Engineering Research Theses and Dissertations
In this research, two actuation systems were introduced, inertial and magnetic actuation. In the inertial actuation, the robot used the transfer of momentum to navigate, and this momentum could be generated by spinning masses and wheels. Recent studies in our System Laboratory proved that a wide range of inertially actuated locomotion systems could be generated. This can be achieved by using a family tree approach, starting from a very simple system, and progressively evolving it to more complex ones. The motion diversity of these robots inspired us to extend their locomotion from a macro scale to millimeter and micro scales ...
Hardware Security Of The Controller Area Network (Can Bus), 2020 Liberty University
Hardware Security Of The Controller Area Network (Can Bus), David Satagaj
Senior Honors Theses
The CAN bus is a multi-master network messaging protocol that is a standard across the vehicular industry to provide intra-vehicular communications. Electronics Control Units within vehicles use this network to exchange critical information to operate the car. With the advent of the internet nearly three decades ago, and an increasingly inter-connected world, it is vital that the security of the CAN bus be addressed and built up to withstand physical and non-physical intrusions with malicious intent. Specifically, this paper looks at the concept of node identifiers and how they allow the strengths of the CAN bus to shine while also ...
Sae Baja Drivetrain, 2020 Olivet Nazarene University
Sae Baja Drivetrain, Troy Von Gillern, Kaitlyn Elmer, Nathan Tabor
Scholar Week 2016 - present
A project to optimize the drivetrain on the ONU SAE Baja Team vehicle.
Basic Utilities Vehicle (Buv) Milk Transportation, 2020 Olivet Nazarene University
Basic Utilities Vehicle (Buv) Milk Transportation, Brian D. Reynolds, Sean Patrick Bayless Galligar, Emmitt Hanner, Joshua T. Pitts
Scholar Week 2016 - present
In developing countries, a need exists for the transportation of raw foods to communities without spoilage. Traditional methods of transporting goods don’t meet the needs of the consumer, and often times food is wasted due to the harsh climate and time constraints. Food often becomes salvage under the heat, causing a hurt to the profitability of vendors and family needs for fresh produce. In particular milk transportation has become difficult, due to the lack of cold storage in standard transit. As a response to the need for affordable raw food transport, our sponsor Basic Utilities Vehicle (BUV) has tasked ...
Nonlinear Least Squares 3-D Geolocation Solutions Using Time Differences Of Arrival, 2020 University of New Mexico
Nonlinear Least Squares 3-D Geolocation Solutions Using Time Differences Of Arrival, Michael V. Bredemann
Mathematics & Statistics ETDs
This thesis uses a geometric approach to derive and solve nonlinear least squares minimization problems to geolocate a signal source in three dimensions using time differences of arrival at multiple sensor locations. There is no restriction on the maximum number of sensors used. Residual errors reach the numerical limits of machine precision. Symmetric sensor orientations are found that prevent closed form solutions of source locations lying within the null space. Maximum uncertainties in relative sensor positions and time difference of arrivals, required to locate a source within a maximum specified error, are found from these results. Examples illustrate potential requirements ...
Comparison Of Optimal Energy Management Strategies Using Dynamic Programming, Model Predictive Control, And Constant Velocity Prediction, 2020 Western Michigan University
Comparison Of Optimal Energy Management Strategies Using Dynamic Programming, Model Predictive Control, And Constant Velocity Prediction, Amol Arvind Patil
Due to the recent advancements in autonomous vehicle technology, future vehicle velocity predictions are becoming more robust which allows fuel economy (FE) improvements in hybrid electric vehicles through optimal energy management strategies (EMS). A real-world highway drive cycle (DC) and a controls-oriented 2017 Toyota Prius Prime model are used to study potential FE improvements. We proposed three important metrics for comparison: (1) perfect full drive cycle prediction using dynamic programming, (2) 10-second prediction horizon model predictive control (MPC), and (3) 10-second constant velocity prediction. These different velocity predictions are put into an optimal EMS derivation algorithm to derive optimal engine ...
Vehicle Velocity Prediction Using Artificial Neural Networks And Effect Of Real-World Signals On Prediction Window, 2020 Western Michigan University
Vehicle Velocity Prediction Using Artificial Neural Networks And Effect Of Real-World Signals On Prediction Window, Tushar Dnyaneshwar Gaikwad
Prediction of vehicle velocity is essential since it can realize improvements in the fuel economy/energy efficiency, drivability, and safety. Many publications address velocity prediction problems, yet there is a need for the understanding effect of different signals for the prediction. There are numerous new sensor and signal technologies like vehicle-to-vehicle and vehicle-to-infrastructure communication that can be used to obtain comprehensive datasets. Several references considered deterministic and stochastic approaches that use the datasets as input to determine future operation predictions. These approaches include different traffic models and artificial neural networks such as Markov chain, nonlinear autoregressive model, Gaussian function, and ...
Vehicle Performance Analysis Of An Autonomous Electric Shuttle Modified For Wheelchair Accessibility, 2020 Western Michigan University
Vehicle Performance Analysis Of An Autonomous Electric Shuttle Modified For Wheelchair Accessibility, Johan Fanas Rojas
Autonomous vehicles (AV) have the potential to vastly improve independent, safe, and cost-effective mobility options for individuals with disabilities. However, accessibility considerations are often overlooked in the early stages of design, resulting in AVs that are inaccessible to people with disabilities. The needs of wheeled mobility device users can cause significant vehicle design changes due to requirements for stepless ingress/egress and increased space for onboard circulation and securement. Vehicles serving people with disabilities typically require costly aftermarket modifications for accessibility, which may have unforeseen impacts on vehicle performance and safety, particularly in the case of automated vehicles. In this ...
Fluid Power Vehicle Challenge, 2020 California Polytechnic State University, San Luis Obispo
Fluid Power Vehicle Challenge, Jacob Torrey, Kayla Londono, Bryson Chan, Aaron Trujillo
The FPVC combines mechanical engineering disciplines to design and manufacture a vehicle that utilizes hydraulic power. The FDR covers the final manufacturing process and verification processes developed during the front end of research and analysis built upon the Critical Design Review (CDR) and the PDR (Preliminary Design Review). This report showcases the design decisions and extensive research that supports the continuing efforts by the Team Pump My Ride, to build upon the accomplishments of Cal Poly’s previous team, The Incompressibles. The FDR presents how Team Pump My Ride produced the design changes from the CDR and PDR to achieve ...
The Future State Of Mobility, 2020 Purdue University
The Future State Of Mobility, Jerome Quandt
Purdue Road School
Formed in 2018, the Illinois Autonomous Vehicles Association (ILAVA) is a privately funded non-for-profit organization focused on establishing thought leadership in the state of Illinois, by identifying and addressing the current and emerging opportunities related to the inevitable growth of CAV technologies throughout the transportation network. Through the deployment of scalable and sustainable business solutions, facilitating industry education and establishing thought leadership, ILAVA is creating an ecosystem that defines Illinois as #TheFutureStateofMobility.
Internal Combustion Engine, 2020 California Polytechnic State University, San Luis Obispo
Internal Combustion Engine, Philippe D. Habets, Sam S. Flood, Paing Htet Lin, Jason Wu, Ricardo Cuevas
The goal of this project is to modify a Honda GX35 engine to improve its fuel efficiency and maximize its competitiveness in the Shell Eco-marathon competitions. This competition has tight restrictions on the type of fuel used to power the engine, but otherwise has very few rules limiting the type of modifications which may be made. Our primary goals are to maximize volumetric efficiency and maintain an efficient operating temperature. Future work might pursue more advanced technologies such as pseudo-atkinson cycle operation.
Simulation And Design Tool For Supermileage Vehicle (Smv) Club Final Design Report, 2020 California Polytechnic State University, San Luis Obispo
Simulation And Design Tool For Supermileage Vehicle (Smv) Club Final Design Report, Kimberly Kodama, Sung Ho An, Justice Aragon
The purpose of this project is to create a sensitivities tool and start an optimization tool to assist the Cal Poly SMV Team in designing their vehicle, developing a driving strategy for competition, and becoming a contender in endurance events. The development of a user-friendly vehicle simulation and design tool was proposed by Professor Joseph Mello who is the club’s advisor. The SMV Team competes in endurance events such as the Supermileage competition or the Shell Eco-marathon with the goal of achieving the best mileage possible.
This report will present the research that has been conducted to understand and ...