Machine learning for next-generation intelligent transportation systems: A survey
Yuan, Tingting, Da Rocha Neto, Wilson, Rothenberg, Christian Esteve, Obraczka, Katia, Barakat, Chadi, Turletti, Thierry·2022·Transactions on Emerging Telecommunications Technologies
DOI 10.1002/ett.4427
Cites (238)
Items 201–238 of 238
- Urban Link Travel Time Prediction Based on a Gradient Boosting Method Considering Spatiotemporal CorrelationsFaming Zhang, Xinyan Zhu, Tao Hu, Wei Jie Guo, Chen Chen, Lingjia Liu · 2016 · ISPRS International Journal of Geo-Information
- AI-Based Malicious Network Traffic Detection in VANETsNikita V. Lyamin, Denis V. Kleyko, Quentin Delooz, Alexey V. Vinel · 2018 · IEEE Network
- Travel-time prediction with deep learningChaiyaphum Siripanpornchana, Sooksan Panichpapiboon, Pimwadee Chaovalit · 2016 · IEEE Region 10 Conference (TENCON)
- Dynamic Controller Assignment in Software Defined Internet of Vehicles Through Multi-Agent Deep Reinforcement LearningTingting Yuan, Wilson Borba da Rocha Neto, Christian Esteve Rothenberg, Katia Obraczka, Chadi Barakat, Thierry Turletti · 2020 · IEEE Transactions on Network and Service Management
- A Dispersed Federated Learning Framework for 6G-Enabled Autonomous Driving CarsLatif Ullah Khan, Yan Kyaw Tun, Madyan Alsenwi, Muhammad Ali Imran, Zhu Han, Choong Seon Hong · 2022 · IEEE Transactions on Network Science and Engineering
- Identification of anomalies in lane change behavior using one-class SVMSaina Ramyar, Abdollah Homaifar, Ali Karimoddini, Edward W. Tunstel · 2016 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
- A Deep Reinforcement Learning-based Trust Management Scheme for Software-defined Vehicular NetworksDajun Zhang, Fei Richard Yu, Ruizhe Yang, Helen Tang · 2018 · Design and Analysis of Intelligent Vehicular Networks and Applications
- Deep Learning-Based Corporate Performance Prediction Model Considering Technical CapabilityJoonhyuck Lee, Dong‐Sik Jang, Sangsung Park · 2017 · Sustainability
- Improved Vehicle Steering Pattern Recognition by Using Selected Sensor DataZhenchao Ouyang, Jianwei Niu, Mohsen Guizani · 2017 · IEEE Transactions on Mobile Computing
- Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation LearningRaunak Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Driggs-Campbell, Mykel J. Kochenderfer · 2019 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
- Driver identification in intelligent vehicle systems using machine learning algorithmsZhengping Li, Kai Zhang, Bokui Chen, Yuhan Dong, Lin Zhang · 2018 · IET Intelligent Transport Systems
- Connected Vehicle Security Vulnerabilities [Commentary]Yoshiyasu Takefuji · 2018 · IEEE Technology and Society Magazine
- Green Computing in Software Defined Social Internet of VehiclesNeetesh Kumar, Rashmi Chaudhry, Omprakash Kaiwartya, Neeraj Kumar, Syed Hassan Ahmed · 2020 · IEEE Transactions on Intelligent Transportation Systems
- Adaptive Security for Intelligent Transport System ApplicationsMuhammad Awais Javed, Elyes Ben Hamida, Ala Al‐Fuqaha, Bharat Bhargava · 2018 · IEEE Intelligent Transportation Systems Magazine
- Improving Hybrid Vehicle Fuel Efficiency Using Inverse Reinforcement LearningAdam Vogel, Deepak Ramachandran, Rakesh Gupta, Antoine Raux · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
- Deep Reinforcement Learning (DRL)-based Resource Management in Software-Defined and Virtualized Vehicular Ad Hoc NetworksYing He, Fei Richard Yu, Nan Zhao, Hongxi Yin, Azzedine Boukerche · 2017 · Design and Analysis of Intelligent Vehicular Networks and Applications
- A SVM based routing scheme in VANETsLiang Zhao, Yujie Li, Chao Meng, Changqing Gong, Xiaochun Tang · 2016 · International Symposium on Communications and Information Technologies
- A New Lane-Changing Model with Consideration of Driving StyleGuoqing Ren, Yong Zhang, Hao Liu, Ke Zhang, Yongli Hu · 2019 · International Journal of Intelligent Transportation Systems Research
- Identifying parking spaces & detecting occupancy using vision-based IoT devicesXiao Ling, Jie Sheng, Orlando Rocha Baiocchi, Xing Liu, Matthew E. Tolentino · 2017 · Global Internet of Things Summit (GIoTS)
- DeepSense: A novel learning mechanism for traffic prediction with taxi GPS tracesXiaoguang Niu, Ying Zhu, Xining Zhang · 2014 · Globecom
- Harnessing UAVs for Fair 5G Bandwidth Allocation in Vehicular Communication via Deep Reinforcement LearningTingting Yuan, Christian Esteve Rothenberg, Katia Obraczka, Chadi Barakat, Thierry Turletti · 2021 · IEEE Transactions on Network and Service Management
- Resource Allocation in Software-Defined and Information-Centric Vehicular Networks with Mobile Edge ComputingYing He, Chengchao Liang, Zheng Zhang, Fei Richard Yu, Nan Zhao, Hongxi Yin, Yanhua Zhang · 2017 · IEEE Vehicular Technology Conference
- Directives of the European Union on Intelligent Transport Systems and their Impact on the Republic of CroatiaSadko Mandžuka, Marijan Žura, Božica Horvat, Davor Bićanić, Evangelos Mitsakis · 1970 · PROMET - Traffic&Transportation
- A Context-Aware Edge-Based VANET Communication Scheme for ITSChang An, Celimuge Wu, Tsutomu Yoshinaga, Xianfu Chen, Yusheng Ji · 2018 · Sensors
- On-Street Car Parking Prediction in Smart City: A Multi-source Data Analysis in Sensor-Cloud EnvironmentWalaa Alajali, Sheng Wen, Wanlei Zhou · 2017 · Lecture notes in computer science
- Extracting Vehicle Sensor Signals from CAN Logs for Driver Re-identificationSzilvia Lestyán, Gergely Ács, Gergely Biczók, Zsolt Szalay · 2019 · International Conference on Information Systems Security and Privacy (ICISSP)
- Spatio-temporal Information Ranking in VANET ApplicationsPiotr Szczurek, Bo Xu, Jie Lin, Ouri Wolfson · 2010
- A Practical and Optimal Path Planning for Autonomous Parking Using Fast Marching Algorithm and Support Vector MachineQuoc Huy, Seiichi Mita, Keisuke Yoneda · 2013 · IEICE Transactions on Information and Systems
- Cluster Analysis for Driver Aggressiveness IdentificationFabio Martinelli, Francesco Mercaldo, Vittoria Nardone, Albina Orlando, Antonella Santone · 2018 · International Conference on Information Systems Security and Privacy (ICISSP)
- A survey of new orientations in the field of vehicular cybersecurity, applying artificial intelligence based methodsZsombor Pethő, Árpád Török, Zsolt Szalay · 2021 · Transactions on Emerging Telecommunications Technologies
- Vehicle on board platform: Communications test and prototypingUnai Hernández‐Jayo, Asier Perallos, Nekane Sainz, Ignacio Angulo · 2010 · IEEE Intelligent Vehicles Symposium
- Learning Policies for Battery Usage Optimization in Electric VehiclesStefano Ermon, Yexiang Xue, Carla Pedro Gomes, Bart Selman · 2012 · Lecture notes in computer science
- Intelligent transportation systemsW Gordon Fink · 2002 · IEEE Microwave and Millimeter-Wave Monolithic Circuits Symposium (MMWMC)
- A Deep Learning Based Model for Driving Risk AssessmentYiyang Bian, Chang Heon Lee, J. Leon Zhao, Yibo Wan · 2019 · Hawaii International Conference on System Sciences (HICSS)
- Driver Modeling Based on Vehicular Sensing DataZhuowen Wang, Fuqiang Liu, Xinhong Wang, Yuyan Du · 2018 · International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI)
- Computational Intelligence and Adaptation in VANETs: Current Research and New PerspectivesMárcia Pasin, Amal El Fallah Seghrouchni, Assia Belbachir, Sarajane Marques Peres, Anarosa A. F. Brandão · 2018 · International Joint Conference on Neural Networks (IJCNN)
- From Deep Learning to Deep ReasoningTruyen Tran, Vuong Le, Hung Lê, Thao Minh Le · 2021 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
- Learning Long-Term Situation Prediction for Automated DrivingStefan Hoermann, Martin Bach, Klaus Dietmayer · 2017 · IEEE International Conference on Machine Learning and Applications (ICMLA)