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Littérature scientifique sur le sujet « Smart vehicle »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Smart vehicle"

Raut, Sonali P., and A. C. Pise. "Smart Vehicle." Journal of Electronics,Computer Networking and Applied Mathematics, no. 41 (December 1, 2023): 38–47. http://dx.doi.org/10.55529/jecnam.41.38.47.

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This article gives a summary of the existing state of affairs and potential developments for smart vehicles while taking into consideration social, technological, and transportation aspects. Additionally, it examines the strategies for turning the smart into a generic vehicle, potential future developments, 5G, ADAS, and power source characteristics. This will make it possible for linked automobiles to take center stage in smart cities. Information may be exchanged between vehicles and road infrastructures as well as from one vehicle to another thanks to the vehicle-to-infrastructure (V2I) and

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Bharathi, V. C. "Smart Parking System." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 1823–26. http://dx.doi.org/10.22214/ijraset.2021.36746.

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In the modern age, many people have vehicles. Vehicle is now a primary need. Every place is under process of urbanization. There are many supermarkets and shopping centers etc. There are many creative places where people used to go for refreshing and relaxation. All these places are full of with people so they need a parking space where people can park their vehicles safely and easily. Every parking area needs a website or system that records the detail of vehicles to give the parking facility. With the help of iot based system we can deliver a good service to users/people who wants to park th

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Sai Teja, Pendur, Nagireddy Shiva Smaran Reddy, Praveen Kumar Pandugu, and Pratheek Vangari. "Smart Vehicle Monitoring And Tracking System." E3S Web of Conferences 391 (2023): 01099. http://dx.doi.org/10.1051/e3sconf/202339101099.

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Nowadays tracking a theft vehicle or monitoring continuously vehicles, tracking systems have escalated quickly. The major concern of the proposed system is identifying vehicle theft and monitoring its status. We can use this in several ways such as delivering security to vehicles such as bikes or cars and many other vehicles and if there are any goods in the vehicle, with the help of this we can keep track of the vehicle in maps. This is very useful for tracking the movement of a vehicle from any location at any time. In this, we can make a tracking system that is modelled and executed for tra

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Fadhil, Ali Muayed, Norashidah Md Din, Norazizah Binti Mohd Aripin, and Ali Ahmed Abed. "Advanced Privacy Scheme to Improve Road Safety in Smart Transportation Systems." International journal of Computer Networks & Communications 16, no. 2 (2024): 71–86. http://dx.doi.org/10.5121/ijcnc.2024.16205.

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In -Vehicle Ad-Hoc Network (VANET), vehicles continuously transmit and receive spatiotemporal data with neighboring vehicles, thereby establishing a comprehensive 360-degree traffic awareness system. Vehicular Network safety applications facilitate the transmission of messages between vehicles that are near each other, at regular intervals, enhancing drivers' contextual understanding of the driving environment and significantly improving traffic safety. Privacy schemes in VANETs are vital to safeguard vehicles’ identities and their associated owners or drivers. Privacy schemes prevent unauthor

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K R, Suma. "Smart Vehicle Sensor System." International Journal for Research in Applied Science and Engineering Technology 9, no. VIII (2021): 4–7. http://dx.doi.org/10.22214/ijraset.2021.37004.

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Over recent years production of the vehicle around the world has increased rapidly, vehicle theft has become a shared concern for all citizens. Security and safety have always become a necessity. However, present anti-theft systems lack the tracking and monitoring function. The Wi-Fi module enabled cost-effective solution has been made to protect the vehicles. This paper attempts to utilize two physically disjoint units in conjunction with each other, to provide a fool-proof mechanism against vehicle theft. A prototype has been made using Arduino and Wi-Fi module. Android smartphones are used

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Pradnya, Kapadne, Mehetre Sumit, Garpal Athrav, Kankate Vaishanvi, and Koli Sanjay. "Smart Bike Using IoT." International Journal of Innovative Science and Research Technology 8, no. 5 (2023): 636–39. https://doi.org/10.5281/zenodo.7950995.

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People use different vehicles and mean for commuting around the world, but motorcycles are the craziest vehicle used by the young generation. Among different commuting vehicles, motorcycles dominate the roads in many low- and middle-income countries and at the same time, there is a rapid increase in the injuries and deaths of riders. Recentlyin October 2022, the World Health Organization [WHO] and itspartners launched an updated manual to help policymakers in ending the disaster of road traffic deaths and injuries involving motorcycles and other powered two- and three-wheelers. The report says

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M, Vidyashankar. "Enhancing Public Safety and Traffic Management: A Machine Learning Solution for Missing Vehicles and Smart Signaling." International Journal for Research in Applied Science and Engineering Technology 13, no. 2 (2025): 842–45. https://doi.org/10.22214/ijraset.2025.66978.

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This paper presents a system for missing vehicle tracking and smart traffic signaling using machine learning, embedded systems, RFID, and OpenCV. The missing vehicle tracking component uses RFID tags and readers at strategic locations to identify and track vehicles. Upon a theft report, the system activates tracking, utilizing RFID data and potentially integrating with other tracking mechanisms (e.g., GPS if available) to locate the vehicle. The smart signaling system employs OpenCV and cameras to analyze real-time traffic flow. Machine learning algorithms process this visual data to predict c

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Leeks, Harry. "Smart Electric Vehicle Charging." ITNOW 61, no. 4 (2019): 12–13. http://dx.doi.org/10.1093/itnow/bwz092.

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Abstract What does IT have to do with the charging of electric vehicles? In this article, Harry Leeks, a graduate IT Analyst at National Grid, explains how IT plays a pivotal role in the electric vehicle charging market.

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Narmadha, R., R. Madhav, D. Barath, S. Kiruthika, and J. Keerthana. "Smart Moving Vehicle Detection System." Journal of Computational and Theoretical Nanoscience 17, no. 4 (2020): 1758–63. http://dx.doi.org/10.1166/jctn.2020.8438.

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In Vehicle detection is a computer skill that determines the locations, direction and speed of running vehicles in arbitrary (digital) images. Using vehicle features and ignores anything else, such as buildings, trees and bodies. Vehicle detection is currently an active research area in the computer vision community. Automobile localization and detection are frequently the primary step in bids such as face gratitude, video observation, vehicle computer interface and image database administration. Speed and tracking vehicle shapes is a prerequisite for recognition and/or vehicle features analys

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Phillips, Anthony M., Ryan A. McGee, Johannes G. Kristinsson, and Hai Yu. "Smart, Connected and Electric." Mechanical Engineering 135, no. 03 (2013): S4—S9. http://dx.doi.org/10.1115/1.2013-mar-4.

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This article introduces opportunities that are seen at the intersection of electrification, connectivity, and smart controls in the automobile industry. Computational Intelligence provides the vehicle the ability to reason, adapt, and learn based on historical usage data, the present operating conditions, and the predicted future states. Modern automobiles continue to grow in complexity and sophistication. Electrified powertrains now provide vastly improved fuel efficiency by utilizing high-voltage systems to overcome some of the shortcomings of traditional combustion engines. Smart controls h

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Thèses sur le sujet "Smart vehicle"

Mustafa, Mustafa Asan. "Smart Grid security : protecting users' privacy in smart grid applications." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/smart-grid-security-protecting-users-privacy-in-smart-grid-applications(565d4c36-8c83-4848-a142-a6ff70868d93).html.

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Smart Grid (SG) is an electrical grid enhanced with information and communication technology capabilities, so it can support two-way electricity and communication flows among various entities in the grid. The aim of SG is to make the electricity industry operate more efficiently and to provide electricity in a more secure, reliable and sustainable manner. Automated Meter Reading (AMR) and Smart Electric Vehicle (SEV) charging are two SG applications tipped to play a major role in achieving this aim. The AMR application allows different SG entities to collect users’ fine-grained metering data m

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Malmgren, Andreas. "Visual Vehicle Identification Using Modern Smart Glasses." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172428.

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In recent years wearable devices have been advancing at a rapid pace and one of the largest growing segments is the smart glass segment. In this thesis the feasibility of today’s ARM-based smart glasses are evaluated for automatic license plate recognition (ALPR). The license plate is by far the most prominent visual feature to identify a spe- cific vehicle, and exists on both old and newly produced vehicles. This thesis propose an ALPR system based on a sequence of vertical edge detection, a cascade classifier, verti- cal and horizontal projection as well as a general purpose optical characte

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Moghaddam, Zeinab. "Smart charging strategies for electric vehicle charging stations." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2019. https://ro.ecu.edu.au/theses/2215.

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Although the concept of transportation electrification holds enormous prospects in addressing the global environmental pollution problem, consumer concerns over the limited availability of charging stations and long charging/waiting times are major contributors to the slow uptake of plug-in electric vehicles (PEVs) in many countries. To address the consumer concerns, many countries have undertaken projects to deploy a network of both fast and slow charging stations, commonly known as electric vehicle charging networks. While a large electric vehicle charging network will certainly be helpful i

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Ozen, Etkin. "Design Of Smart Controllers For Hybrid Electric Vehicles." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606540/index.pdf.

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This thesis focuses on the feasibility of designing a commercial hybrid electric vehicle (HEV). In this work, relevant system models are developed for the vehicle including powertrain, braking system, electrical machines and battery. Based on these models ten different HEV configurations are assembled for detailed assessment of fuel consumption. This thesis also proposes a smart power management strategy which could be applied to any kind of HEV configuration. The suggested expert system deals with the external information about the driving conditions and modes of the driver as well as the int

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Bönström, Daniel. "Smartphone application in PhoneGap : M2C’s electric vehicle smart charger." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-32452.

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Aloqaily, Osama. "Charging and Discharging Algorithms for Electric Vehicles in Smart Grid Environment." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34562.

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Power demands will increase day-by-day because of widely adopting of Plug-in Electric Vehicles (PEVs) in the world and growing population. Finding and managing additional power resources for upcoming demands is a challenge. Renewable power is one of the alternatives. However, to manage and control renewable resources, we need suitable Energy Storage System (ESS). PEVs have a large battery pack that is used mainly to supply electric motor. Moreover, PEV battery could be used as an ESS to store power at a certain time and use it at another time. Nevertheless, it can play the same role with elect

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Kaur, Amardeep. "Vehicle positioning using image processing." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2009. http://scholarsmine.mst.edu/thesis/pdf/Kaur_09007dcc80665391.pdf.

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Thesis (M.S.)--Missouri University of Science and Technology, 2009.<br>Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed May 27, 2009) Includes bibliographical references (p. 72-74).

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Zulkanthiwar, Amey. "VEHICLE INFORMATION SYSTEM USING BLOCKCHAIN." CSUSB ScholarWorks, 2019. https://scholarworks.lib.csusb.edu/etd/899.

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The main purpose of a vehicle information system using blockchain is to create a transparent and reliable information system which will help consumers buy a vehicle; it is a vehicle information system. The blockchain system will create a time sequence chain of events database for each vehicle from the original sale. It will include insurance, vehicle repair, and vehicle resale. This project is mainly divided into three parts. Part one is used by the administration who will create the blockchain and will give authentication to a different organization to create the blockchain. Part two will be

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Atterby, Alfred, Jakub Bluj, and Elias Sjögren. "Potential for electric vehicle smart charging station expansion at Fyrisskolan." Thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-352636.

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The purpose of this bachelor thesis is to investigate the potential for electric vehicle charging at the high school Fyrisskolan, located in central Uppsala. The idea relies on charging electric vehicles (EV:s) outside of the hours of peak power consumption of the school which in this report is assumed to be solved by a suitable smart charger. In this project, various stochastic models are built to simulate solar energy production and school energy consumption using data collected from various sources. This generated data along with driving distances and EV:s energy consumptions are used to c

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Gao, Shuang, and 高爽. "Design, analysis and control of vehicle-to-grid services." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/197100.

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There are unique challenges and opportunities related to the integration of electric vehicles into the future power grid, especially the modern distribution grid since electric vehicle (EV) charging facilities and fast-charging stations are usually tied to low-voltage and medium-voltage power networks. The grid-connected EVs, if properly controlled, can operate as distributed energy storage and provide various ancillary services, such as peak shaving, fast-response reserve capacity, frequency regulation, voltage control and reactive supports. The purpose of this thesis is to integrate EVs to

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Livres sur le sujet "Smart vehicle"

Schmidt, Gerhard, Huseyin Abut, Kazuya Takeda, and John H. L. Hansen, eds. Smart Mobile In-Vehicle Systems. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-9120-0.

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P, Pauwelussen J., and Pacejka H. B, eds. Smart vehicles. Swets & Zeitlinger, 1995.

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Vahidinasab, Vahid, and Behnam Mohammadi-Ivatloo, eds. Electric Vehicle Integration via Smart Charging. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05909-4.

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Alam, Mohammad Saad, and Mahesh Krishnamurthy. Electric Vehicle Integration in a Smart Microgrid Environment. CRC Press, 2021. http://dx.doi.org/10.1201/9780367423926.

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Kranitz, Michael Scott. Look before you lease: Secrets to smart vehicle leasing. Dublin Financial Press, 1995.

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Käppler, Wolf Dieter. Smart Vehicle Handling - Test und Evaluation in der Fahrzeugtechnik. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46417-5.

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Dailey, Daniel J. Smart Trek: A model deployment initiative. Washington State Dept. of Transportation, 2001.

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P, Haselkorn Mark, Washington (State). Dept. of Transportation., Washington State Transportation Center, and Washington State Transportation Commission, eds. Bellevue Smart Traveler: Design, demonstration and assessment. Washington State Dept. of Transportation, 1995.

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William, Mouyos, and United States. National Aeronautics and Space Administration., eds. X-33/RLV: System Health Management/Vehicle Health Management. National Aeronautics and Space Administration, 1998.

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Chapitres de livres sur le sujet "Smart vehicle"

Gurmani, Muhammad Salman, and Dietmar P. F. Möller. "Mechanism Protecting Vehicle-to-Vehicle Communication." In Smart Technologies. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7139-4_26.

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Tapak, Peter, Michal Kocur, Matej Rabek, and Juraj Matej. "Smart Vehicle Inspection." In Computer Aided Systems Theory – EUROCAST 2022. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-25312-6_45.

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Miao, Zhaohua, and Zhengbao Zha. "Smart Drug Delivery Vehicle." In Drug Delivery to Tumors. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-19-8930-8_6.

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Angkititrakul, Pongtep, John H. L. Hansen, Sangjo Choi, et al. "UTDrive: The Smart Vehicle Project." In In-Vehicle Corpus and Signal Processing for Driver Behavior. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-79582-9_5.

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Florea, Mihai, Valerian Croitorescu, and Mircea Oprean. "Smart Solutions for Vehicle Chassis." In Proceedings of the European Automotive Congress EAEC-ESFA 2015. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27276-4_21.

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Ma, Tai-Yu. "Dynamic Charging Management for Electric Vehicle Demand Responsive Transport." In Smart Energy for Smart Transport. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-23721-8_14.

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Yoga Sasidhar Reddy, S., Ch Amarnath, K. Surya Teja, M. Sridhar, and Surendra Kumar Bitra. "Smart Vehicle and Smart Parking System Using IOT." In Cybernetics, Cognition and Machine Learning Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1484-3_9.

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Malhotra, Abhishek, and Hardil Kanabar. "Adaptive Vehicle Safety and Collision Warning System Using DSRC for Heavy-Duty Vehicle." In IOT with Smart Systems. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-3945-6_42.

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Kanwar, Archana. "Vehicle accident detection and smart notification systems." In Smart Electronic Devices. CRC Press, 2025. https://doi.org/10.1201/9781003643173-12.

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Hornyák, Olivér, and George Farid Alkhoury. "Smart Contracts in the Automotive Industry." In Vehicle and Automotive Engineering 3. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9529-5_13.

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Actes de conférences sur le sujet "Smart vehicle"

Nelson, B. Ajay Veneesh, V. Muthulakshmi, and Janhavi Doijad. "Smart Vehicle Security System." In 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63760.2024.10910665.

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Kim, Taekjung, Byungwook Jin, Si-Ho Cha, and Moon-Seog Jun. "A Study on Issuance of Secure Vehicle Certificate for Vehicle to Vehicle Communications in Internet of Vehicles." In Smart Information Technology 2016. Science & Engineering Research Support soCiety, 2016. http://dx.doi.org/10.14257/astl.2016.142.21.

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Venkat, Vijaya Simhan, K. Nageswara Rao, and A. K. Parvathy. "Smart vehicle controller design for electric vehicles." In SMART GRID & ELECTRIC VEHICLE. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0208765.

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Stokes, Joshua. "SMART DISPLAY BASED VEHICLE C4ISR ARCHITECTURE." In 2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium. National Defense Industrial Association, 2024. http://dx.doi.org/10.4271/2024-01-3332.

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<title>ABSTRACT</title> <p>This paper illustrates the effectiveness of using smart displays to further reduce size, weight, and power (SWaP) in ground vehicles while also providing a path to implementing a network for vehicle C4ISR architectures such as VICTORY. This is done by introducing smart displays and how they can be configured and implemented to take on various functions to provide capabilities such as sensor viewing, vehicle health monitoring, and blue force tracking. The smart display’s interfaces and application software allow it to act as network adapter for legac

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Dolbin, Brad, and David Jedynak. "SMART POWER ARCHITECTURE FOR INTELLIGENT POWER DISTRIBUTION." In 2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium. National Defense Industrial Association, 2024. http://dx.doi.org/10.4271/2024-01-3234.

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<title>ABSTRACT</title> <p>Curtiss-Wright has developed an advanced Smart Power Architecture for Intelligent Power Distribution, based on our Intelligent Power Distribution Demonstration (iPDD) and experience in providing power distribution components specifically for Heavy Brigade Combat Team (HBCT) vehicles. The challenges of power distribution and management in ground vehicles are presented, including issues of scalability, warfighter burden, and the complexity of distributing multiple vehicle power sources. The fundamental building blocks of Smart Power are described, inc

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Pahadiya, Pallavi, Rajni Gupta, R. B. Patel, and B. P. Singh. "Smart Vehicle System." In INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN SCIENCE AND TECHNOLOGY (ICM2ST-10). AIP, 2010. http://dx.doi.org/10.1063/1.3526178.

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Khan, M. Al Rizwan, B. Gowtham, A. S. Akash Saravanan, R. Arun Bharathi, and A. Elakya. "Smart Electric Vehicle." In 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS). IEEE, 2019. http://dx.doi.org/10.1109/icaccs.2019.8728534.

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Komanecky, Mark R., and David M. Claus. "IVHS Applications of Smart Cards." In Vehicle Navigation & Instrument Systems. SAE International, 1991. http://dx.doi.org/10.4271/912848.

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Agalawe, KIRAN R., Prasanna V. Nagarhalli, and NIKHIL HAJGUDE. "Smart Efficient ECO AC for Small Commercial Electric Vehicle." In SAENIS TTTMS Thermal Management Systems Conference. SAE International, 2024. http://dx.doi.org/10.4271/2024-28-0087.

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<div class="section abstract"><div class="htmlview paragraph">The proposed smart, efficient eco-cooling strategy leverages the AC system's efficiency sensitivity to the vehicle speed and the thermal storage of the cabin to coordinate the AC operation with the vehicle speed profile by actively shifting the AC thermal load toward the more efficient region at higher vehicle speeds.</div><div class="htmlview paragraph">An investigation is now being conducted on vehicle cabin climate control systems to lower energy consumption and enhance battery electric vehicle range when

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Yadav, Amrendra Singh, Aditi Tripathi, Ashutosh Kumar, and Dharmendra Singh Kushwaha. "Vehicle-to-Vehicle Energy Trading Blockchain System for Electric Vehicles." In 2024 16th International Conference on Knowledge and Smart Technology (KST). IEEE, 2024. http://dx.doi.org/10.1109/kst61284.2024.10499695.

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Rapports d'organisations sur le sujet "Smart vehicle"

Kwiat, Paul, Eric Chitambar, Andrew Conrad, and Samantha Isaac. Autonomous Vehicle-Based Quantum Communication Network. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-020.

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Quantum communication was demonstrated using autonomous vehicle-to-vehicle (V2V), as well as autonomous vehicle-to-infrastructure (V2I). Supporting critical subsystems including compact size, weight, and power (SWaP) quantum sources; optical systems; and pointing, acquisition, and tracking (PAT) subsystems were designed, developed, and tested. Novel quantum algorithms were created and analyzed, including quantum position verification (QPV) for mobile autonomous vehicles. The results of this research effort can be leveraged in support of future cross-platform, mobile quantum communication netwo

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Kevin Morrow, Dimitri Hochard, and Jeff Wishart. Vehicle to Electric Vehicle Supply Equipment Smart Grid Communications Interface Research and Testing Report. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1034806.

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Roth, Christian. Design of the In-vehicle Experience. SAE International, 2022. http://dx.doi.org/10.4271/epr2022012.

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The in-vehicle experience, both physical and digital, is increasingly the differentiating factor between vehicles. Since touch displays, smart surfaces, and internet connectivity are present in most vehicle segments, the growing resemblance of in-vehicle experiences with mobile experiences leads to user expectations on par with smartphones. While manufacturers are faced with providing suitable service offerings that are safe to use, they must also identify services to exclude or limit, without encouraging drivers to resort back to their mobile devices. This increasingly complex in-vehicle expe

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Sakulneya, Apidej, and Jeffery Roesler. Smart Construction Work-Zone Safety with V2I Passive Material Sensing. Illinois Center for Transportation, 2024. https://doi.org/10.36501/0197-9191/24-027.

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This study explored new vehicle to infrastructure (V2I) technology in construction work zones (CWZ), where speeding, unsafe driving behaviors, and drivers' failure to obey traffic signs contribute significantly to elevated accident rates and fatalities. The objective of this research to advance CWZ safety by evaluating the potential of 3-axis magnetometers attached to a moving cart and traversing over a pavement-assisted passive sensing system can improve vehicle lateral positioning and warning in CWZ. Secondly, to develop a process to implement a programmable ferromagnetic oxide material for

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Gajera, Hardik, Srinivas S. Pulugurtha, and Sonu Mathew. Influence of Level 1 and Level 2 Automated Vehicles on Fatal Crashes and Fatal Crash Occurrence. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2034.

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Connected and automated vehicles (CAVs) are expected to improve safety by gradually reducing human decisions while driving. However, there are still questions on their effectiveness as we transition from almost 0% CAVs to 100% CAVs with different levels of vehicle autonomy. This research focuses on synthesizing literature and identifying risk factors influencing fatal crashes involving level 1 and level 2 CAVs in the United States. Fatal crashes involving level 0 vehicles—ones that are not connected and automated—were compared to minimize unobserved heterogeneity and randomness associated with

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Dunn, Jessica, Don Anair, David Reichmuth, and Kevin Shen. Making the Most of Electric Vehicle Batteries: How recycling, innovation, and efficiency can support a sustainable transportation future. Union of Concerned Scientists, 2024. http://dx.doi.org/10.47923/2024.15617.

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Electrifying the US transportation system is essential to rapidly decarbonizing the economy and reducing the public health costs from tailpipe emissions. Electric vehicles (EVs) powered by lithium-ion batteries have become the most preferred alternative to gasoline vehicles. We can create a more resilient, just, and sustainable EV supply chain and energy future by minimizing mineral needs to electrify and eventually relying mostly on recycled materials. This research quantifies the potential to minimize mineral demand for light-duty transportation while electrifying using several strategies, i

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Sakulneya, Apidej, and Jeffery Roesler. Enhancing Construction Work-Zone Safety by Passive Pavement-to-Vehicle Communication. Illinois Center for Transportation, 2023. http://dx.doi.org/10.36501/0197-9191/23-016.

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Construction work zones for roads pose significant safety challenges for drivers and workers, which can lead to accidents, injuries, fatalities, and property damage. Enhancing construction work-zone safety requires an understanding of the factors influencing accidents and fatalities and an evaluation of existing safety and traffic-management measures. The objective of this study was to improve work-zone safety for roadways, by connecting passive material sensing in the road with vehicle communication systems. A review of the main roadway work-zone safety literature found driver behavior, traff

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Wei, Dong, Harry Haas, and Paul Terricciano. VersiCharge-SG - Smart Grid Capable Electric Vehicle Supply Equipment (EVSE) for Residential Applications. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1234438.

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Shladover, Steven E., and Jeffrey B. Greenblatt. Connected and Automated Vehicle Concept Dimensions and Examples DOE SMART Mobility, Task 7A1.1. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1412520.

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Lave, Matthew Samuel, and Christian Birk Jones. Smart Electric Vehicle Charging for a Reliable and Resilient Grid (Sandia National Laboratories). Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1572597.

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