Most cited papers in IoT and GPS-based Vehicle Safety Systems
What are the most cited papers in IoT and GPS-based Vehicle Safety Systems?
The most cited paper in IoT and GPS-based Vehicle Safety Systems is "Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment" (Juan Carlos Herrera, Daniel B. Work, Ryan Herring et al., 2009), with 926 citations. Next come "Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification" (708) and "A Review of Machine Learning and IoT in Smart Transportation" (632).
Showing 50 of 99 papers. Every paper with more than 129 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment Juan Carlos Herrera, Daniel B. Work, Ryan Herring et al. · Transportation Research Part C Emerging Technologies | 29 Dec 2009 | 926 |
| 2 | Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification Zhun Zhong, Liang Zheng, Zhiming Luo et al. | Jun 2019 | 708 |
| 3 | A Review of Machine Learning and IoT in Smart Transportation Fotios Zantalis, Grigorios Koulouras, Sotiris Karabetsos et al. · Future Internet | 10 Apr 2019 | 632 |
| 4 | Driver Fatigue Detection Systems: A Review Gulbadan Sikander, Shahzad Anwar · IEEE Transactions on Intelligent Transportation Systems | 5 Oct 2018 | 552 |
| 5 | Driver Behavior Analysis for Safe Driving: A Survey Sinan Kaplan, Mehmet Amac Guvensan, Ali Gökhan YAVUZ et al. · IEEE Transactions on Intelligent Transportation Systems | 26 Aug 2015 | 407 |
| 6 | Geolocation and assisted GPS G.M. Djuknic, Robert E. Richton · Computer | Mar 2001 | 387 |
| 7 | Smart Transportation: An Overview of Technologies and Applications Damilola Oladimeji, Khushi Gupta, Nuri Alperen Kose et al. · Sensors | 11 Apr 2023 | 379 |
| 8 | Context-aware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions Jiafu Wan, Daqiang Zhang, Shengjie Zhao et al. · IEEE Communications Magazine | Aug 2014 | 376 |
| 9 | A Mobile GPRS-Sensors Array for Air Pollution Monitoring A. R. Al-Ali, Imran Zualkernan, Fadi Aloul · IEEE Sensors Journal | 16 Jun 2010 | 363 |
| 10 | A Survey on State-of-the-Art Drowsiness Detection Techniques Muhammad Ramzan, Hikmat Ullah Khan, Shahid Mahmood Awan et al. · IEEE Access | 2019 | 360 |
| 11 | Mobile phone based drunk driving detection Jiangpeng Dai, Jin Teng, Xiaole Bai et al. | 2010 | 349 |
| 12 | Trends in Fatalities From Distracted Driving in the United States, 1999 to 2008 Fernando A. Wilson, Jim P. Stimpson · American Journal of Public Health | 24 Sep 2010 | 347 |
| 13 | Safe Driving Using Mobile Phones Mohamed Fazeen, Brandon Gozick, Ram Dantu et al. · IEEE Transactions on Intelligent Transportation Systems | 19 Mar 2012 | 342 |
| 14 | Human activity recognition from accelerometer data using Convolutional Neural Network Song-Mi Lee, Sang Min Yoon, Heeryon Cho | Feb 2017 | 335 |
| 15 | WreckWatch: Automatic Traffic Accident Detection and Notification with Smartphones Jules White, Chris Thompson, Hamilton Turner et al. · Mobile Networks and Applications | 21 Mar 2011 | 335 |
| 16 | Survey on Fall Detection and Fall Prevention Using Wearable and External Sensors Yueng Delahoz, Miguel A. Labrador · Sensors | 22 Oct 2014 | 328 |
| 17 | Analytical Models of the Performance of C-V2X Mode 4 Vehicular Communications Manuel Gonzalez-Martin, Miguel Sepulcre, Rafael Molina-Masegosa et al. · IEEE Transactions on Vehicular Technology | 19 Dec 2018 | 316 |
| 18 | Effectiveness of low speed autonomous emergency braking in real-world rear-end crashes Brian Fildes, Michael Keall, Niels M. Bos et al. · Accident Analysis & Prevention | 6 May 2015 | 316 |
| 19 | A Public Health Perspective of Road Traffic Accidents Sudha Gopalakrishnan · Journal of Family Medicine and Primary Care | 2012 | 315 |
| 20 | Design and implementation of vehicle tracking system using GPS/GSM/GPRS technology and smartphone application SeokJu Lee, Girma Tewolde, Jaerock Kwon | Mar 2014 | 311 |
| 21 | Traffic accident detection using random forest classifier Nejdet Doğru, Abdülhamit Subaşı | Feb 2018 | 299 |
| 22 | Implementing Intelligent Traffic Control System for Congestion Control, Ambulance Clearance, and Stolen Vehicle Detection R. Sundar, Santhoshs Hebbar, Varaprasad Golla · IEEE Sensors Journal | 27 Oct 2014 | 287 |
| 23 | 3GPP LTE Versus IEEE 802.11p/WAVE: Which Technology is Able to Support Cooperative Vehicular Safety Applications? Alexey V. Vinel · IEEE Wireless Communications Letters | 22 Feb 2012 | 283 |
| 24 | Mobile robots in mine rescue and recovery Robin Roberson Murphy, J. H. Kravitz, Samuel Stover et al. · IEEE Robotics & Automation Magazine | Jun 2009 | 279 |
| 25 | A survey on internet of vehicles: Applications, security issues & solutions Surbhi Sharma, Baijnath Kaushik · Vehicular Communications | 20 Sep 2019 | 276 |
| 26 | A Survey on Intelligent Transportation Systems Kashif Naseer Qureshi, Abdul Hanan Abdullah · Middle-East Journal of Scientific Research | 13 Aug 2013 | 276 |
| 27 | Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks Bhargava Reddy, Ye-Hoon Kim, Sojung Yun et al. | Jul 2017 | 263 |
| 28 | From Sensors to Safety: Internet of Emergency Services (IoES) for Emergency Response and Disaster Management Robertas Damaševičius, Nebojša Bačanin, Sanjay Misra · Journal of Sensor and Actuator Networks | 16 May 2023 | 258 |
| 29 | A Review of Recent Developments in Driver Drowsiness Detection Systems Yaman Albadawi, Maen Takruri, Mohammed Awad · Sensors | 7 Mar 2022 | 253 |
| 30 | Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques Rateb Jabbar, Khalifa N. Al‐Khalifa, Mohamed Bin Mokhtar Kharbeche et al. · Procedia Computer Science | 2018 | 249 |
| 31 | Technology and teen drivers John D. Lee · Journal of Safety Research | 2007 | 246 |
| 32 | Providing accident detection in vehicular networks through OBD-II devices and Android-based smartphones Jorge Zaldivar, Carlos T. Calafate, Juan‐Carlos Cano et al. | Oct 2011 | 238 |
| 33 | Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things Ryan Wen Liu, Maohan Liang, Jiangtian Nie et al. · IEEE Transactions on Network Science and Engineering | 7 Jan 2022 | 234 |
| 34 | BIM integrated smart monitoring technique for building fire prevention and disaster relief Min–Yuan Cheng, Kuan-Chang Chiu, Yo‐Ming Hsieh et al. · Automation in Construction | 30 Aug 2017 | 212 |
| 35 | Cyber-Security for the Controller Area Network (CAN) Communication Protocol Chung‐Wei Lin, Alberto L. Sangiovanni-Vincentelli | Dec 2012 | 212 |
| 36 | Camera-Aware Proxies for Unsupervised Person Re-Identification Menglin Wang, Baisheng Lai, Jianqiang Huang et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 18 May 2021 | 207 |
| 37 | Review of Wearable Device Technology and Its Applications to the Mining Industry Mokhinabonu Mardonova, Yosoon Choi · Energies | 4 Mar 2018 | 202 |
| 38 | Smartphone-Based Vehicle Telematics: A Ten-Year Anniversary Johan Wahlström, Isaac Skog, Peter Händel · IEEE Transactions on Intelligent Transportation Systems | 4 Apr 2017 | 201 |
| 39 | DriveSafe: An app for alerting inattentive drivers and scoring driving behaviors Luis Miguel Bergasa, Daniel Almeria, Javier Almazán et al. | Jun 2014 | 198 |
| 40 | CarSafe app Chuang-Wen You, Nicholas D. Lane, Fanglin Chen et al. | 25 Jun 2013 | 196 |
| 41 | Passenger Segmentation Using Smart Card Data Minh Kieu, Ashish Bhaskar, Edward Chung · IEEE Transactions on Intelligent Transportation Systems | 10 Dec 2014 | 194 |
| 42 | Suitable location selection for the electric vehicle fast charging station with AHP and fuzzy AHP methods using GIS Doğuş Güler, Tahsin Yomralıoğlu · Annals of GIS | 9 Mar 2020 | 193 |
| 43 | A review and categorization of techniques on device-free human activity recognition Zawar Hussain, Quan Z. Sheng, Wei Emma Zhang · Journal of Network and Computer Applications | 23 Jun 2020 | 191 |
| 44 | STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network Ryan Wen Liu, Maohan Liang, Jiangtian Nie et al. · IEEE Transactions on Industrial Informatics | 8 Apr 2022 | 190 |
| 45 | Accident detection and reporting system using GPS, GPRS and GSM technology Md. Syedul Amin, Jubayer Jalil, Mamun Bin Ibne Reaz | May 2012 | 190 |
| 46 | Survey of smartphone‐based sensing in vehicles for intelligent transportation system applications Jarret Engelbrecht, Marthinus Johannes Booysen, Gert‐Jan van Rooyen et al. · IET Intelligent Transport Systems | 28 Jul 2015 | 186 |
| 47 | A Review of the Traffic Accidents and Related Practices Worldwide Ali Ahmed Mohammed, Kamarudin Ambak, Ahmed Mancy Mosa et al. · The Open Transportation Journal | 30 Jun 2019 | 185 |
| 48 | ROAD ACCIDENTS IN INDIA Dinesh Mohan · IATSS Research | 2009 | 184 |
| 49 | Smart Attendance Monitoring System (SAMS): A Face Recognition Based Attendance System for Classroom Environment Shubhobrata Bhattacharya, Gowtham Sandeep Nainala, Prosenjit Das et al. | Jul 2018 | 180 |
| 50 | GPS-free geolocation using LoRa in low-power WANs Bernat Carbonés Fargas, Martin Nordal Petersen | Jun 2017 | 180 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.