Article
Computer Science, Information Systems
Ziyuan Pu, Zhiyong Cui, Jinjun Tang, Shuo Wang, Yinhai Wang
Summary: Traffic speed is a critical indicator reflecting traffic status, with control systems adjusting signal timing plans based on its variations. This study proposes a method to estimate real-time multimodal traffic speed on road networks covered by Wi-Fi and Bluetooth sensors, taking into account the multimodal nature of urban transportation.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Shafi Ullah Khan, Noor Alam, Sana Ullah Jan, In Soo Koo
Summary: This paper presents a solution that uses two speed guns to detect and report vehicle speeds, even when the vehicles are not within the line of sight of the camera. The system is designed for irregular traffic conditions and utilizes low-cost hardware and a Raspberry Pi module. Automatic alerts are sent to traffic authorities when drivers are found to be speeding.
Article
Telecommunications
Christos Bouras, Apostolos Gkamas, Vasileios Kokkinos, Nikolaos Papachristos
Summary: This research studies LoRaWan and Wi-Fi as possible candidates for data transmission, focusing on their performance and application development for rescue monitoring systems. The findings highlight that optimizations in spreading factor and bandwidth can improve coverage and battery extension in real search and rescue cases. The proposed solution aims to overcome monitoring issues in SAR cases, compare with WiFi, and suggest a module supporting both technologies for real experiments.
TELECOMMUNICATION SYSTEMS
(2022)
Article
Chemistry, Analytical
Poh Yuen Chan, Ju-Chin Chao, Ruey-Beei Wu
Summary: This study presents a passive indoor positioning system (IPS) that uses Wi-Fi fingerprints collected by Wi-Fi Sniffers to estimate the position of a device-under-test (DUT). A modified Genetic Algorithm (GA) is proposed to optimize the Wi-Fi Sniffers' deployment. The preliminary results show an offline positioning accuracy of 2.2 m using 20 Wi-Fi Sniffers.
Review
Computer Science, Information Systems
Sebastien Maudet, Guillaume Andrieux, Romain Chevillon, Jean-Francois Diouris
Summary: Wi-Fi HaLow is a wireless communication technology developed for the IoT, which increases communication range and decreases energy consumption through new mechanisms and features. Measurements using the Newracom NRC-7292 chip show that Wi-Fi HaLow performs well in terms of range, throughput, and latency, providing a real-life propagation model for 802.11ah wireless communications.
INTERNET OF THINGS
(2023)
Article
Green & Sustainable Science & Technology
Rajesh Singh, Mohammed Baz, Anita Gehlot, Mamoon Rashid, Manpreet Khurana, Shaik Vaseem Akram, Sultan S. Alshamrani, Ahmed Saeed AlGhamdi
Summary: The study emphasizes the importance of water conservation and management due to the increased demand and quality of water. Implementing IoT technology, the research proposes monitoring the level and quality of water in a domestic water tank using customized hardware for real-time visualization and monitoring.
Article
Computer Science, Information Systems
Lisa Liu, Daryl Essam, Timothy Lynar
Summary: This article examines the complexity of IoT traffic and proposes two new metrics. Through comparative experiments, the new methods are proven to outperform existing approaches, particularly in heterogeneous conditions.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Yang Liu, Zhaoxian Yang, Yuxiang Peng, Ting Bi, Tao Jiang
Summary: QUIC-BDP is an ACK frequency optimization scheme for QUIC that improves performance and throughput stability by utilizing tailored bandwidth-delay product (BDP). Experimental results show significant improvements in performance and reduced energy cost compared to the original QUIC and existing solutions.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Chemistry, Analytical
Luke Kane, Vicky Liu, Matthew McKague, Geoffrey Walker
Summary: This study evaluates the network performance of Wi-Fi HaLow compared to Wi-Fi n and LoRa in terms of throughput, latency, and reliability. The evaluation is based on real-world performance experiments and the results show that Wi-Fi HaLow offers promising performance, outperforming LoRa.
Article
Automation & Control Systems
Wen-Tsai Sung, Shuo-Chen Tasi, Sung-Jung Hsiao
Summary: This study developed a smart aquarium control system using Internet of Things technology to monitor temperature, light intensity, and water level in the aquarium and provide alerts for intruders. The system optimizes outputs based on sensor data to create the most comfortable environment for the fish. It also includes an automatic feeder and supports remote network monitoring.
INTELLIGENT AUTOMATION AND SOFT COMPUTING
(2022)
Article
Chemistry, Physical
Xiya Yang, Guangqing Liu, Qiyao Guo, Haiyang Wen, Ruiyuan Huang, Xianghe Meng, Jialong Duan, Qunwei Tang
Summary: By utilizing a self-powered triboelectric sensor that uses transferred charge density as sensing signals and carbon nanotube doping to increase sensitivity, the requirements for smart traffic monitoring and management are met. By connecting to cloud IoT services, functions such as traffic flow management, vehicle capturing, and plate number recognition are realized.
Article
Chemistry, Analytical
Mario Vega-Barbas, Manuel Alvarez-Campana, Diego Rivera, Mario Sanz, Julio Berrocal
Summary: This article introduces a system architecture using Wi-Fi sensor devices to estimate the number of people present in a venue in real-time. By analyzing probe request messages from smartphones, the system can estimate the number of attendees almost in real-time. To address the challenge of MAC address randomization in smartphones, Wi-Fi sensors analyze other fields in IEEE 802.11 frames to extract a unique fingerprint from each smartphone. The system was tested in real scenarios and achieved an accuracy of around 95% in estimating attendance at different public events.
Article
Chemistry, Analytical
Edgar Saavedra, Laura Mascaraque, Gonzalo Calderon, Guillermo del Campo, Asuncion Santamaria
Summary: Smart meters' energy consumption includes metering, standby, and communication processes. The selection of a specific wireless technology depends on application requirements and location constraints. The choice of EH technique is determined by the availability of energy sources at the smart meter's location.
Article
Geosciences, Multidisciplinary
Mohammed Hasan Ali, Waleed Khalid Al-Azzawi, Mustafa Jaber, Sura Khalil Abd, Ahmed Alkhayyat, Zaid Ibrahim Rasool
Summary: This paper discusses the hazards and challenges of working in coal mines and proposes an IoT based Dynamic Sensor Information Control System to address environmental issues. By utilizing sensor networks and control systems, combined with the technology of Industrial Internet of Things, it is possible to effectively monitor and control temperature, humidity, and carbon emissions in coal mines.
PHYSICS AND CHEMISTRY OF THE EARTH
(2022)
Article
Engineering, Electrical & Electronic
Miao Meng, Manideep Dunna, Shih-Kai Kuo, Hans Chinghan Yu, Po-Han Peter Wang, Dinesh Bharadia, Patrick P. Mercier
Summary: This article introduces an IC designed for long-range backscatter communication. The chip improves Wi-Fi backscatter systems by using a fully-reflective single-antenna backscatter solution and a retro-reflective MIMO approach. The chip also incorporates a wake-up scheme and achieves high synchronization accuracy. It consumes low power and achieves a significant AP-to-tag range.
IEEE JOURNAL OF SOLID-STATE CIRCUITS
(2023)
Article
Computer Science, Interdisciplinary Applications
Jianzhong Chen, Yang Zhou, Jing Li, Huan Liang, Zekai Lv, Yanmei Hu
Summary: In this paper, an improved multianticipative cooperative adaptive cruise control (CACC) model is proposed based on fully utilizing multivehicle information obtained by vehicle-to-vehicle communication. The study demonstrates that introducing CACC vehicles and forming CACC platoon for cooperative control can improve traffic efficiency and enhance road capacity.
INTERNATIONAL JOURNAL OF MODERN PHYSICS C
(2022)
Article
Engineering, Electrical & Electronic
Hailong Zhang, Jiankun Peng, Huachun Tan, Hanxuan Dong, Fan Ding
Summary: This study proposes an RL framework named CADC for energy management optimization in hybrid electric vehicles. The framework combines coach-actor-double-critic algorithm design, which effectively considers constrained conditions for online energy management to improve energy-saving rate.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Engineering, Civil
Yangxin Lin, Ping Wang, Yang Zhou, Fan Ding, Chen Wang, Huachun Tan
Summary: Car-following models have been widely applied and achieved remarkable success in traffic engineering. However, the accuracy of traffic micro-simulation at the platoon level, especially during traffic oscillations, needs improvement. This study proposes a new trajectory generation approach that generates platoon-level trajectories based on the first leading vehicle's trajectory. Through analysis, it is found that the error comes from the training method and the model structure. Two improvements are made to the traditional LSTM-based car-following model, which significantly reduces error in temporal-spatial propagation. Compared to the traditional model, the proposed model has a 40% lower error rate.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Hailong Zhang, Yuankai Wu, Huachun Tan, Hanxuan Dong, Fan Ding, Bin Ran
Summary: Understanding the underlying patterns of urban mobility dynamics is crucial for estimating traffic state and managing urban facilities and services. This article proposes a disentangled representation learning framework and a spatial-temporal generative adversarial network (ST-GAN) to model the citywide traffic dynamics and reconstruct the high-dimensional traffic flow. Experimental results show that ST-GAN not only improves prediction accuracy but also characterizes the structural properties of the traffic evolution process.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Ran Yi, Yang Zhou, Xin Wang, Zhiyuan Liu, Xiaotian Li, Bin Ran
Summary: This paper presents a constrained trajectory optimization method for connected automated vehicles on curved roads with infrastructure assistance. The method formulates the optimization problems in a spatial domain and curvilinear coordinate, providing flexibility to describe complex road geometries, traffic regulations, and road obstacles. A multiobjective model predictive control approach is designed to optimize the trajectories and satisfy various constraints simultaneously. Numerical simulations confirm the control efficiency of the method in different scenarios.
JOURNAL OF ADVANCED TRANSPORTATION
(2022)
Article
Engineering, Electrical & Electronic
Xiasen Wang, Don MacKenzie, Yang Zhou, Fan Ding
Summary: This article introduces a predicted user equilibrium model that considers both direct current fast chargers (dcFCs) and charging lanes charging choices. A two-stage algorithm is developed to construct the model and conducts a numerical analysis. The results show that income and travel cost are the most significant attributes affecting the choice behavior.
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
(2022)
Article
Engineering, Electrical & Electronic
Shuai Su, Jiangfeng She, Kaicheng Li, Xin Wang, Yang Zhou
Summary: This article introduces a centralized model predictive control method for virtually coupled train sets, which can ensure the safety and smooth operation of trains on railways. The effectiveness of the proposed controller is verified through numerical simulations.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Engineering, Civil
Shen Li, Keqi Shu, Yang Zhou, Dongpu Cao, Bin Ran
Summary: The paper proposes a cooperative critical turning point method to enhance cooperation between vehicles and infrastructures for improved traffic efficiencies, using the concept of cooperative critical turning points to optimize intersection management.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Physics, Multidisciplinary
Kunsong Shi, Yuankai Wu, Haotian Shi, Yang Zhou, Bin Ran
Summary: This paper proposes a deep learning-based trajectory prediction model that can predict the combined behaviors of car following and lane change processes. Experimental results demonstrate that the proposed model outperforms other models in both short-term and long-term predictions.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Engineering, Civil
Yang Zhou, Yangxin Lin, Soyoung Ahn, Ping Wang, Xin Wang
Summary: This paper proposes a method to complete all trajectories of human-driven vehicles in a mixed platoon. By formulating the completion problem as an optimization problem and introducing car-following constraints, the method can reduce completion error. Validation using empirical data shows that this method has lower completion error compared to other methods under sparse observation.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Hanxuan Dong, Hailong Zhang, Fan Ding, Huachun Tan, Jiankun Peng
Summary: Cooperative control of connected and automated electric vehicles offers great potential for a safe, high-efficient, sustainable transportation system. This article proposes a reinforcement learning approach to address the sparse reward problem in ramp merging problem and optimize traffic efficiency, energy-saving, and battery health performance.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Engineering, Civil
Jiankun Peng, Siyu Zhang, Yang Zhou, Zhibin Li
Summary: This paper proposes a double-layer decision-making model for lane change and car-following decisions in autonomous driving systems. The model utilizes deep reinforcement learning algorithms to handle complex state space and ensure decision-making safety and effectiveness. Simulation experiments demonstrate that the model performs better than other models.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Transportation Science & Technology
Shuai Su, Jiangfeng She, Di Wang, Siyuan Gong, Yang Zhou
Summary: Virtual coupling is an advanced technology in train control systems that allows trains to run with a small tracking interval, significantly increasing rail transit capacity. This paper proposes a stabilized virtual coupling scheme for a heterogeneous train set, incorporating a relative braking distance based spacing policy. The paper also designs a linear control architecture and derives conditions for local stability. The impact of braking dynamics capability on string stability is analyzed in terms of acceleration and spacing difference.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Computer Science, Artificial Intelligence
Haotian Shi, Yang Zhou, Keshu Wu, Sikai Chen, Bin Ran, Qinghui Nie
Summary: This study proposes an innovative integrated two-dimensional control strategy for connected automated vehicles, using deep reinforcement learning. The strategy efficiently controls the vehicles in terms of both stability-wise longitudinal control performance and accurate lateral path-tracking performance. The controller utilizes vehicle-to-everything communication and roadway geometry information, and applies a physics-informed DRL state fusion approach and reward function to better utilize the information and borrow the merits of control theory concepts. Simulated experiments validate the controller's accuracy and stability-wise performance in diverse traffic scenarios.
KNOWLEDGE-BASED SYSTEMS
(2023)