A5100391684- Traffic control and management
- Transportation Planning and Optimization
- Traffic Prediction and Management Techniques
- Reliability and Maintenance Optimization
- Advanced Battery Technologies Research
- Traffic and Road Safety
- Risk and Safety Analysis
- Advancements in Battery Materials
- Complexity and Algorithms in Graphs
- Advanced Graph Theory Research
- Software Reliability and Analysis Research
- Electric Vehicles and Infrastructure
- Flow Measurement and Analysis
- Vehicle emissions and performance
- Autonomous Vehicle Technology and Safety
- Vehicular Ad Hoc Networks (VANETs)
- Cooperative Communication and Network Coding
- Engineering and Test Systems
- Optimization and Search Problems
- Fault Detection and Control Systems
- Computational Geometry and Mesh Generation
- Advanced Sensor and Control Systems
- Robotic Path Planning Algorithms
- Probabilistic and Robust Engineering Design
- Interconnection Networks and Systems
Xi'an Jiaotong University
2014-2025
Shandong University
2019-2024
State Key Laboratory of Cryptology
2022-2024
North Minzu University
2024
University of Science and Technology Beijing
2024
Systems Engineering Society of China
2024
China National Institute of Standardization
2023
Southeast University
2013-2023
Hefei University of Technology
2010-2023
Naval University of Engineering
2006-2023
The primary objective of this paper was to incorporate the reinforcement learning technique in variable speed limit (VSL) control strategies reduce system travel time at freeway bottlenecks. A Q-learning (QL)-based VSL strategy proposed. controller included two components: a QL-based offline agent and an online controller. trained learn optimal limits for various traffic states achieve long-term goal optimization. effects were evaluated using modified cell transmission model recurrent...
A procedure was developed for using Surrogate Safety Assessment Model (SSAM) and VISSIM safety assessment at freeway merge areas. The simulated conflicts generated by the simulation models identified SSAM approach to those measured in field traditional traffic techniques. Of particular interest identify if consistency between field‐measured could be improved calibrating adjusting threshold values SSAM. two‐stage proposed calibrate validate models. transferability of calibrated also tested....
The Cooperative Adaptive Cruise Control (CACC) system is beneficial to the traffic flow stability. However, CACC mode will degrade ACC if a vehicle following right behind manual vehicle. This paper presents framework for analytical studies on stability of CACC-manual heterogeneous flow. and car-following models validated by PATH program are used as surrogate degraded vehicles respectively. Intelligent Driver Model (IDM) driven model. investigated theoretically under various market...
As a key status for battery energy storage systems, state of health (SOH) can provide the fundamental information lifespan management pack in electric vehicles (EV). Traditionally, features are extracted from various signals to establish powerful data-driven model lithium-ion (Li-ion) SOH estimation. One issue left is how utilize existing diverse modalities measurement superior aging capture. The available options selecting by analyzing their correlations with SOH. This article aims...
Freeway bottlenecks lead to traffic congestion and speed reduction, resulting in increased risks of rear-end collision. This paper aimed develop a control strategy an integrated system cooperative adaptive cruise (CACC) variable limit (VSL) reduce collision near freeway bottlenecks. A microscopic simulation testbed was first constructed, which the realistic PATH CACC models surrogate safety measures time exposed time-to-collision (TET) (TIT) were used. feedback algorithm then developed for...
With the development of lithium-ion battery (LIB) technology and increasing popularity electric vehicles, issue safety has become increasingly urgent. The state health (SOH), known as a critical parameter in prognosis management LIBs, considerable attention from industry academia. This article proposes novel method for estimating SOH LIBs based on sliding window (SW) sampling charging curves independently recurrent neural network (IndRNN). Considering number cycles practical applications, SW...