- Railway Systems and Energy Efficiency
- Wireless Communication Networks Research
- Vehicular Ad Hoc Networks (VANETs)
- Mobile Ad Hoc Networks
- Power Line Communications and Noise
- Advanced Wireless Network Optimization
- Traffic Prediction and Management Techniques
- Energy Efficient Wireless Sensor Networks
- Cooperative Communication and Network Coding
- IoT and Edge/Fog Computing
- Advanced MIMO Systems Optimization
- Wireless Networks and Protocols
- Video Coding and Compression Technologies
- Mobile Agent-Based Network Management
- Transportation Planning and Optimization
- Network Traffic and Congestion Control
- Opportunistic and Delay-Tolerant Networks
- Age of Information Optimization
- Privacy-Preserving Technologies in Data
- Smart Grid Security and Resilience
- Blockchain Technology Applications and Security
- IPv6, Mobility, Handover, Networks, Security
- Millimeter-Wave Propagation and Modeling
- Railway Engineering and Dynamics
- Caching and Content Delivery
Beijing Jiaotong University
2016-2025
Xidian University
2024
Kunming University
2024
University of Missouri–Kansas City
2024
Dalian University of Technology
2018-2023
Carleton University
2013-2023
Xi’an University
2022
Southwest University
2021
Jiangxi Science and Technology Normal University
2014-2020
Beijing Information Science & Technology University
2014-2020
Big data is becoming a research focus in intelligent transportation systems (ITS), which can be seen many projects around the world. Intelligent will produce large amount of data. The produced big have profound impacts on design and application systems, makes ITS safer, more efficient, profitable. Studying analytics flourishing field. This paper first reviews history characteristics systems. framework conducting discussed next, where source collection methods, methods platforms, categories...
Mobile-edge computing (MEC) is a promising paradigm to improve the quality of computation experience mobile devices because it allows offload tasks MEC servers, benefiting from powerful resources servers. However, existing computation-offloading works have also some open issues: 1) security and privacy issues; 2) cooperative offloading; 3) dynamic optimization. To address issues, we employ blockchain technology that ensures reliability irreversibility data in systems. Meanwhile, jointly...
Edge intelligence (EI) is becoming one of the research hotspots among researchers, which believed to help empower intelligent transportation systems (ITS). ITS generates a large amount data at network edge by millions devices and sensors. Data-driven artificial (AI) core development. By pushing AI frontier edge, EI enables applications have lower latency, higher security, less pressure on backbone better use big data. This paper surveys Intelligence in Intelligent Transportation Systems. We...
Communication-Based Train Control (CBTC) system is an automated train control using bidirectional train-ground communications to ensure the safe operation of rail vehicles. Handoff design has significant impacts on performance in CBTC systems based multi-input and multi-output (MIMO)-enabled WLANs. Most previous works use traditional criteria, such as network capacity communication latency, handoff designs. However, these designs do not necessarily benefit performance. In this paper, we take...
The application of blockchain to mobile edge computing (MEC) systems has attracted great interests. However, the design and optimization MEC in most existing works are done separately, which will result sub-optimal performance. In this paper, we propose a joint framework for blockchain-enabled achieve optimal trade-off between performance system system. Specifically, both considered as services framework, where energy consumption delay/time finality (DTF) metrics system, respectively. We...
Structural health monitoring (SHM) is playing an increasingly important role in ensuring the safety of structures. A shift SHM research away from traditional wired methods toward use wireless smart sensors (WSS) has been motivated by attractive features sensor networks (WSSN). The progress achieved Micro Electro-Mechanical System (MEMS) technologies and data transmission, extended effectiveness range applicability WSSNs. One most common employed strategies accelerometer; however,...
Due to the long train marshaling and complex line conditions, operating modes in heavy haul rail systems frequently change when trains travel. Improper traction or braking operation made by drivers will increase longitudinal impact force causes decoupling, severely affecting safe operations of trains. It is quite desirable replace manual control with intelligent systems. Traditional machine learning-based methods suffer from insufficient data. lacking effective incentives trust, data...
The application of network slicing to mobile edge computing (MEC) systems has aroused great interests from both academia and industry. However, the optimization MEC in most existing research works only focuses on resource slicing, energy scheduling, power allocation perspective devices, without considering operator's revenue. In this paper, we propose a novel framework for systems, including slice request admission revenue model, investigate escalation problem while traffic variations. model...
This paper investigates the robust distributed cruise control problem of multiple high-speed trains under external disturbances. First, by modeling each train as a cascade point masses connected spring-like couplers, longitudinal interaction between adjacent cars are represented topological graph. Then, framework communication-based technology, desirable speed information among and wayside center is described directed Next, controller designed taking advantages graphic theory such that track...
Communication-based Train Control (CBTC) systems are the burgeoning directions for developing future train control systems. With adoption of wireless communication and network techniques, more vulnerable to cyber-attacks. Notably, jamming attacks, aiming at handoff process that is weakest part ground systems, will cause long disruption communication. It have a severe impact on operation efficiency. Current research regarding industry system security hard model attacks quantitatively, current...
The communication-based train control (CBTC) system ensures the high efficiency and orderliness of trains is widely used in urban rail transit networks. adoption wireless communication network techniques makes CBTC systems more vulnerable to cyber attacks. Identity authentication an effective approach improve security. existing identity mechanisms adopt a centralized key management sensitive single-point failures. To security, this article, we deploy blockchain systems. client that runs...
Multi-user video streaming over wireless channels is a challenging problem, where the demand for better quality and small transmission delays needs to be reconciled with limited often time-varying communication resources. This paper presents framework joint network optimization, source adaptation, deadline-driven scheduling multi-user networks. We develop resource allocation (JARS) algorithm, which allocates based on users' of service, adapts sources smart summarization, schedules...
Communication-based train control (CBTC) is being rapidly adopted in urban rail transit systems, as it can significantly enhance railway network efficiency, safety, and capacity. Since CBTC systems are mostly deployed underground tunnels trains move at high speeds, building a train-ground wireless communication system for challenging task. Modeling the tunnel channels very important designing networks evaluating performance of systems. Most existing works on channel modeling do not consider...
Communication-based train control (CBTC) systems are automated based on continuous and bidirectional train-ground communications. CBTC is the direction of future systems. Complex channel condition frequent handoff can severely affect urban rail communication performance, consequently operation efficiency. Current research regarding does not consider impact communications performance. This paper studies joint optimization in With objective to minimize optimal profile tracking error energy...
While communication-based train control (CBTC) systems play a crucial role in the efficient and reliable operation of urban rail transits, its high penetration level communication networks opens doors to Man-in-the-Middle (MitM) attacks. Current researches regarding MitM attacks do not consider characteristics CBTC systems. Particularly, limited computing capability on-board computers prevents direct implementation most existing intrusion detection defense algorithms against attack. In order...
Glass is very common in the real world. Influenced by uncertainty about glass region and varying complex scenes behind glass, existence of poses severe challenges to many computer vision tasks, making segmentation as an important task. does not have its own visual appearances but only transmit/reflect surroundings, it fundamentally different from other objects. To address such a challenging task, existing methods typically explore combine useful cues levels features deep network. As there...
The need for video summarization originates primarily from a viewing time constraint. A shorter version of the original sequence is desirable in number applications. Clearly, also necessary applications where storage, communication bandwidth and/or power are limited. In this paper, our work based on MINMAX optimization formulation with time, frame skip and bit rate constraints. New metrics missing summary distortions introduced. Optimal algorithm dynamic programming presented along...
A communication-based train control (CBTC) system is an automated using bidirectional train-ground communications to ensure the safe operation of rail vehicles. CBTC systems have stringent requirements for communication availability and latency. Most existing work in infrastructure mode without train-train communications. Due unreliable wireless frequent handoffs, can severely affect performance, efficiency, utility railway. In this paper, we use recent advances cooperative relaying enable...
Communication-based train control (CBTC) is an automated system for railways using data communications. CBTC systems have stringent communication latency requirements. For rail transit systems, wireless local area network (WLAN)-based a popular approach due to the wide availability of commercial-off-the-shelf WLAN equipment. However, WLANs were not originally designed high-speed environments with frequent handoffs, which may result in interrupt and long latency. In this paper, we propose...
Quality of service (QoS) guarantee is critical in urban rail transit. In this paper, the train-centric communication-based train control (CBTC) systems through train-to-train (T2T) wireless communication introduced based on modification LTE vehicle-to-everything (LTE-V2X). To be specific, a novel CBTC established T2T where distributed sensing-based semi-persistent scheduling (DS-SPS) served as resource allocation scheme scenario. The quantized age information (AoI) used an integrated system...
The appropriate design of a vehicular ad hoc network (VANET) has become pivotal way to build an efficient smart transportation system, which enables various applications associated with traffic safety and highly-efficient transportation. VANETs are vulnerable the threat malicious nodes stemming from its dynamicity infrastructure-less nature causing performance degradation. Recently, software-defined networking (SDN) provided feasible manage dynamically. In this article, we propose novel...
Due to the high integration of wireless communication and networking technologies, communication-based train control (CBTC) systems are exposed additional cyber-attack surfaces, allowing sophisticated attackers combine cyber attack vectors with physical means achieve malicious goals. Notably, decentralized authentication features missing in existing protocols which make CBTC be easily compromised by data tampering attacks, lead serious operational accidents. With outstanding advantages...
The increasingly intense cyber-attacks have always been a crucial issue to the communication-based train control (CBTC) system due exposed wireless channels. Both cyber-attack intrusion detection and defense policy calculation demand substantial computing resources. Combined with high capacity reliability 5G technologies, edge intelligence (EI) is believed help empower CBTC systems in terms of security efficiency. This paper proposes an EI-enabled structure for CBTCs defend against...