Academic literature on the topic 'Autonomous and connected vehicles'
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Journal articles on the topic "Autonomous and connected vehicles":
Yu, Bo, Fan Bai, and Falko Dressler. "Connected and Autonomous Vehicles." IEEE Internet Computing 22, no. 3 (May 2018): 4–5. http://dx.doi.org/10.1109/mic.2018.032501510.
Uhlemann, Elisabeth. "Autonomous Vehicles Are Connecting... [Connected Vehicles]." IEEE Vehicular Technology Magazine 10, no. 2 (June 2015): 22–25. http://dx.doi.org/10.1109/mvt.2015.2414814.
Eom, Young Hyun, Gyowoong Hwang, Minsu Lee, Young Geun Choi, Sungkuk Cho, R. Young Chul Kim, and Byungkook Jeon. "Topological Sequence Recognition Mechanism of Dynamic Connected Cars Using the Connected Mobile Virtual Fence (CMVF) System for Connected Car Technology." Applied Sciences 10, no. 12 (June 24, 2020): 4347. http://dx.doi.org/10.3390/app10124347.
Quack, Tobias, Michael Bösinger, Frank-Josef Heßeler, and Dirk Abel. "Infrastructure-based digital maps for connected autonomous vehicles." at - Automatisierungstechnik 66, no. 2 (February 23, 2018): 183–91. http://dx.doi.org/10.1515/auto-2017-0100.
Gao, Kai, Di Yan, Fan Yang, Jin Xie, Li Liu, Ronghua Du, and Naixue Xiong. "Conditional Artificial Potential Field-Based Autonomous Vehicle Safety Control with Interference of Lane Changing in Mixed Traffic Scenario." Sensors 19, no. 19 (September 27, 2019): 4199. http://dx.doi.org/10.3390/s19194199.
Uhlemann, Elisabeth. "Trusting Autonomous Vehicles [Connected and Automated Vehicles]." IEEE Vehicular Technology Magazine 14, no. 2 (June 2019): 121–24. http://dx.doi.org/10.1109/mvt.2019.2905521.
Shao, Yunli, Mohd Azrin Mohd Zulkefli, and Zongxuan Sun. "Vehicle and Powertrain Optimization for Autonomous and Connected Vehicles." Mechanical Engineering 139, no. 09 (September 1, 2017): S19—S23. http://dx.doi.org/10.1115/1.2017-sep-6.
Fakhrmoosavi, Fatemeh, Ramin Saedi, Ali Zockaie, and Alireza Talebpour. "Impacts of Connected and Autonomous Vehicles on Traffic Flow with Heterogeneous Drivers Spatially Distributed over Large-Scale Networks." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 10 (August 10, 2020): 817–30. http://dx.doi.org/10.1177/0361198120940997.
Razzaq, Sheeba, Amil Roohani Dar, Munam Ali Shah, Hasan Ali Khattak, Ejaz Ahmed, Ahmed M. El-Sherbeeny, Seongkwan Mark Lee, Khaled Alkhaledi, and Hafiz Tayyab Rauf. "Multi-Factor Rear-End Collision Avoidance in Connected Autonomous Vehicles." Applied Sciences 12, no. 3 (January 20, 2022): 1049. http://dx.doi.org/10.3390/app12031049.
Uhlemann, Elisabeth. "Time for Autonomous Vehicles to Connect [Connected Vehicles]." IEEE Vehicular Technology Magazine 13, no. 3 (September 2018): 10–13. http://dx.doi.org/10.1109/mvt.2018.2848342.
Dissertations / Theses on the topic "Autonomous and connected vehicles":
Wei, Jian. "Hybrid mobile computing for connected autonomous vehicles." Thesis, Aston University, 2018. http://publications.aston.ac.uk/37533/.
Anantharaman, Gokul Arvind. "Cooperative Collision Avoidance for Connected and Autonomous Vehicles." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1543424841946961.
Garro, Alexandra. "Connected Vehicle Co-Simulation for Autonomous Vehicles in Airsim using Ns-3." DigitalCommons@CalPoly, 2021. https://digitalcommons.calpoly.edu/theses/2332.
Obenauf, Austin William. "CONNECTED AND AUTONOMOUS VEHICLES EFFECTS ON EMERGENCY RESPONSE TIMES." UKnowledge, 2019. https://uknowledge.uky.edu/ce_etds/84.
Sridhar, Srivatsan. "Cooperative Perception in Autonomous Ground Vehicles using a Mobile Robot Testbed." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/88742.
MS
Tamilarasan, Santhosh. "Use of Connected Vehicle Technology for Improving Fuel Economy and Driveability of Autonomous Vehicles." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1543787677995516.
Dabboussi, Abdallah. "Dependability approaches for mobile environment : Application on connected autonomous vehicles." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCA029.
Connected and Autonomous vehicles (CAV) must have adequate reliability and safety requirements in uncertain environments with complex circumstances. Sensor technology, actuators and artificial intelligence (AI) are constantly and rapidly evolving, thus enabling further development of self-driving vehicles, and increasing the automation of driving. CAV shows many benefits in human life such as increasing road safety, reducing pollution, and providing independent mobility to non-drivers. However, these advanced components create a new set of challenges concerning safety and dependability. Hence, it is necessary to evaluate these technologies before implementation.We study in this thesis the reliability of CAV as a whole, focusing on sensors and the communication system. For that purpose, a functional analysis was done for the CAV system.Our scientific approach for the analyzing the CAV reliability, was structured with methods that combine quantitative and qualitative approaches such as functional analysis for both internal and external, Preliminary Risk Analysis (PRA), and failure modes and effects criticality analysis (FMECA), in addition to other analysis techniques.To prove our results, a simulation was done using the Fault Tree analysis (FTA) probability in order to validate the proposed approach. The data (Failure ratio) used were from a professional database related to the type of components presented in the system. Using this data, a probabilistic model of degradation was proposed. A probability calculation was performed in relation to a reference time of use. Thereafter a sensitivity analysis was suggested concerning the reliability parameters and redesign proposals developed for the components.CAV provide several communication models: vehicles to vehicle (V2V), or with Road Side Infrastructure: vehicle to infrastructure (V2I). Dedicated Short Range Communication (DSRC) employs a multichannel approach to cater for a variety of safety and non-safety applications. Safety applications necessitate appropriate and reliable transmissions, while non-safety applications require performance and high speed. Broadcasting of Basic Safety Messages (BSM) is one of the fundamental services in today’s connected vehicles. For that, an analytical model to evaluate the reliability of IEEE 802.11 based V2V safety-related broadcast services in DSRC system on highway was proposed. Finally, an enhancement on the proposed model was made in order to increase the reliability of the V2V connection, taking into consideration many factors such as transmission range, vehicle density, and safety headway distance on highway, packet error rate, noise influence, and failures rates of communication equipment.Evaluating these problems leads to a sensitivity analysis related to reliability parameters, which helps further innovation in CAV and automobile engineering
Zeng, Tengchan. "Joint Communication, Control, and Learning for Connected and Autonomous Vehicles." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/104216.
Doctor of Philosophy
The evolution of transportation systems has always been the key to the progress of human societies. Recently, technology advances in sensing, autonomy, computing, and wireless connectivity ushered in the era of connected and autonomous vehicles (CAVs). In essence, CAVs rely on the data collected from sensors and wireless communication systems to automatically make the operation decision. If designed properly, the deployment of CAVs can improve the safety and the driving experience, increase the fuel efficiency and road capacity, as well as provide various services ranging from delivery of goods to monitoring. To reap all these benefits of deploying CAVs, one must address a number of technique challenges related to the wireless connectivity, autonomy, and autonomous learning for CAV systems. In particular, for CAV connectivity, the challenges include building a low latency and highly reliable network, using proper models for mobile radio channels, and determining the effective content dissemination strategy. At the control level, key considerations include guaranteeing stability and robustness for the controller when faced with measurement errors and wireless imperfections and rapidly adapting the CAV to dynamic environments. Meanwhile, when CAVs use machine learning to complete their tasks (e.g., object detection and environment monitoring), insufficient training data, privacy concerns, communication overhead, and limited energy are among the main challenges. Therefore, this dissertation develops the foundational science needed to design, analyze, and optimize CAVs while jointly taking into account the challenges within the wireless network, controller, and leaning mechanism design. To this end, various frameworks for the joint communication, control, and learning design and wireless network optimizations are proposed for different CAV applications. The results show that, using the proposed frameworks, the performance of CAVs can be optimized with more reliable communication systems, more stable controller, and improved learning mechanism, enabling intelligent transportation systems for the future smart cities.
Ghiasi, Amir. "Connected Autonomous Vehicles: Capacity Analysis, Trajectory Optimization, and Speed Harmonization." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7295.
Alhuttaitawi, Saif. "Intersection coordination for Autonomous Vehicles." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20936.
Books on the topic "Autonomous and connected vehicles":
Mouftah, Hussein T., Melike Erol-Kantarci, and Sameh Sorour, eds. Connected and Autonomous Vehicles in Smart Cities. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, LLC, 2021.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429329401.
Murphey, Yi Lu, Ilya Kolmanovsky, and Paul Watta, eds. AI-enabled Technologies for Autonomous and Connected Vehicles. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-06780-8.
Hamid, Umar Zakir Abdul, and Fadi Al-Turjman, eds. Towards Connected and Autonomous Vehicle Highways. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66042-0.
Zuev, Sergey, Ruslan Maleev, and Aleksandr Chernov. Energy efficiency of electrical equipment systems of autonomous objects. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1740252.
Trimble, Tammy E., Stephanie Baker, Jason Wagner, Wendy Wagner, Lisa Loftus-Otway, Brad Mallory, Susanna Gallun, et al. Implications of Connected and Automated Driving Systems, Vol. 4: Autonomous Vehicle Action Plan. Washington, D.C.: Transportation Research Board, 2018. http://dx.doi.org/10.17226/25292.
Trimble, Tammy E., Stephanie Baker, Jason Wagner, Myra Blanoo, Wendy Wagner, Lisa Loftus-Otway, Brad Mallory, et al. Implications of Connected and Automated Driving Systems, Vol. 5: Developing the Autonomous Vehicle Action Plan. Washington, D.C.: Transportation Research Board, 2018. http://dx.doi.org/10.17226/25291.
Van Uytsel, Steven, and Danilo Vasconcellos Vargas, eds. Autonomous Vehicles. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9255-3.
Yan, Jing, Xian Yang, Haiyan Zhao, Xiaoyuan Luo, and Xinping Guan. Autonomous Underwater Vehicles. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6096-2.
Cox, Ingemar J., and Gordon T. Wilfong, eds. Autonomous Robot Vehicles. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-8997-2.
Berns, Karsten, and Ewald von Puttkamer. Autonomous Land Vehicles. Wiesbaden: Vieweg+Teubner, 2009. http://dx.doi.org/10.1007/978-3-8348-9334-5.
Book chapters on the topic "Autonomous and connected vehicles":
Sarvi, Majid, Saeed Asadi, and Steven Van Uytsel. "New Fixes for Old Traffic Problems: Connected Transport Systems and AIMES." In Autonomous Vehicles, 185–96. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9255-3_9.
Guvenc, Levent, Bilin Aksun Guvenc, and Mumin Tolga Emirler. "CONNECTED AND AUTONOMOUS VEHICLES." In Internet of Things and Data Analytics Handbook, 581–95. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119173601.ch35.
Parkes, Stephen, and Ed Ferrari. "Alignment with Concurrent Policy Agendas Promoting Liveability." In Connected and Autonomous Vehicles, 53–66. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003348832-4.
Parkes, Stephen, and Ed Ferrari. "The Challenges Posed by Cavs for the Built Environment." In Connected and Autonomous Vehicles, 37–51. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003348832-3.
Parkes, Stephen, and Ed Ferrari. "Responding to the Arrival of Increasingly Connected and Autonomous Vehicles." In Connected and Autonomous Vehicles, 67–81. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003348832-5.
Parkes, Stephen, and Ed Ferrari. "Recommendations." In Connected and Autonomous Vehicles, 89–90. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003348832-7.
Parkes, Stephen, and Ed Ferrari. "Conclusions." In Connected and Autonomous Vehicles, 83–88. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003348832-6.
Parkes, Stephen, and Ed Ferrari. "The Transition to Connected and Autonomous Vehicles." In Connected and Autonomous Vehicles, 25–36. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003348832-2.
Parkes, Stephen, and Ed Ferrari. "Introduction." In Connected and Autonomous Vehicles, 15–24. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003348832-1.
Paranjothi, Anirudh, Mohammed Atiquzzaman, and Mohammad S. Khan. "Message Dissemination in Connected Vehicles." In Connected and Autonomous Vehicles in Smart Cities, 203–22. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, LLC, 2021.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429329401-7.
Conference papers on the topic "Autonomous and connected vehicles":
King, R. "Traffic Management in a Connected or Autonomous Vehicle Environment." In Autonomous Passenger Vehicles. Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/ic.2015.0063.
Edwards, T. "Connected and automated vehicles: Concepts of V2x communications and cooperative driving." In Autonomous Passenger Vehicles. Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/ic.2015.0060.
"Connected and Autonomous Vehicles." In 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE). IEEE, 2019. http://dx.doi.org/10.1109/isie.2019.8781104.
"CAV Connected and Autonomous Vehicles." In 2020 IEEE International Conference on Industrial Technology (ICIT). IEEE, 2020. http://dx.doi.org/10.1109/icit45562.2020.9067119.
Parent, Michel. "Automated Vehicles: Autonomous or Connected?" In 2013 14th IEEE International Conference on Mobile Data Management (MDM). IEEE, 2013. http://dx.doi.org/10.1109/mdm.2013.105.
Hu, Chaowei, Yunpeng Wang, Guizhen Yu, Zhangyu Wang, Ao Lei, and Zhehua Hu. "Embedding CNN-Based Fast Obstacles Detection for Autonomous Vehicles." In Intelligent and Connected Vehicles Symposium. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2018. http://dx.doi.org/10.4271/2018-01-1622.
He, Xiangkun, Kaiming Yang, Yulong Liu, and Xuewu Ji. "A Novel Direct Yaw Moment Control System for Autonomous Vehicle." In Intelligent and Connected Vehicles Symposium. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2018. http://dx.doi.org/10.4271/2018-01-1594.
Pacheco, Lucas, Helder Oliveira, Denis Rosario, Eduardo Cerqueira, Leandro Villas, and Torsten Braun. "Service Migration for Connected Autonomous Vehicles." In 2020 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2020. http://dx.doi.org/10.1109/iscc50000.2020.9219592.
Bucaioni, Alessio, John Lundback, Patrizio Pelliccione, and Saad Mubeen. "Architecting and Analysing Connected Autonomous Vehicles." In 2020 IEEE International Conference on Software Architecture Companion (ICSA-C). IEEE, 2020. http://dx.doi.org/10.1109/icsa-c50368.2020.00009.
Pan, Fei, Weiwen Deng, Sumin Zhang, Jinsong Wang, and Shanshan Wang. "Trajectory-Tracking Control for Autonomous Driving Considering Its Stability with ESP." In Intelligent and Connected Vehicles Symposium. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2018. http://dx.doi.org/10.4271/2018-01-1639.
Reports on the topic "Autonomous and connected vehicles":
Abdul Hamid, Umar Zakir. Responder-to-Vehicle Technologies for Connected and Autonomous Vehicles. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, May 2023. http://dx.doi.org/10.4271/epr2023010.
Tayeb, Shahab, and Matin Pirouz. Securing the Emerging Technologies of Autonomous and Connected Vehicles. Mineta Transportation Institute, April 2020. http://dx.doi.org/10.31979/mti.2020.1915.
Dukarski, Jennifer. Unsettled Legal Issues Facing Data in Autonomous, Connected, Electric, and Shared Vehicles. SAE International, September 2021. http://dx.doi.org/10.4271/epr2021019.
Kwiat, Paul, Eric Chitambar, Andrew Conrad, and Samantha Isaac. Autonomous Vehicle-Based Quantum Communication Network. Illinois Center for Transportation, September 2022. http://dx.doi.org/10.36501/0197-9191/22-020.
Peeta, Srinivas, Jian Wang, Yu Wang, Chaojie Wang, and Anye Zhou. Cooperative Control Mechanism for Platoon Formation of Connected and Autonomous Vehicles. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317466.
Benkraouda, Ouafa, Lindsay Braun, and Arnab Chakraborty. Policies and Design Guidelines to Plan for Connected and Autonomous Vehicles. Illinois Center for Transportation, August 2022. http://dx.doi.org/10.36501/0197-9191/22-012.
Hovakimyan, Naira, Hunmin Kim, Wenbin Wan, and Chuyuan Tao. Safe Operation of Connected Vehicles in Complex and Unforeseen Environments. Illinois Center for Transportation, August 2022. http://dx.doi.org/10.36501/0197-9191/22-016.
Razdan, Rahul. Unsettled Issues Regarding Autonomous Vehicles and Open-source Software. SAE International, April 2021. http://dx.doi.org/10.4271/epr2021009.
Ahmed, Qadeer, and Vishnu Renganathan. Cybersecurity and Digital Trust Issues in Connected and Automated Vehicles. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, April 2024. http://dx.doi.org/10.4271/epr2024009.
Liu, Tong, and Hadi Meidani. Artificial Intelligence for Optimal Truck Platooning: Impact on Autonomous Freight Delivery. Illinois Center for Transportation, August 2023. http://dx.doi.org/10.36501/0197-9191/23-017.