Article
Engineering, Electrical & Electronic
Zhuwei Wang, Senfan Jin, Lihan Liu, Chao Fang, Meng Li, Song Guo
Summary: Connected cruise control (CCC) is an advanced driver assistance system that uses wireless vehicle-to-vehicle (V2V) communication technology to improve control stability and driving safety. This study investigates the design of a deep reinforcement learning (DRL) controller for CCC in high-dynamic traffic scenarios, considering time-varying leading velocity and communication delays. The proposed algorithm, based on deep deterministic policy gradient (DDPG), trains actor and critic networks to generate intelligent control strategies by maximizing a quadratic reward function. The effectiveness and convergence of the algorithm are verified through numerical simulations.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Parthib Khound, Peter Will, Frank Gronwald
Summary: In this paper, a common design methodology is formulated for deriving an adaptive cruise control algorithm to compensate for the lower level time-lag and improve stability. The inclusion of vehicle dynamics in the design reduces the performance of the adaptive cruise control system. The proposed method can be used to design new models or extend existing models. The derived design method fulfills the over-damped string stability condition, improving safety and performance.
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
(2022)
Article
Engineering, Civil
George Gunter, Derek Gloudemans, Raphael E. Stern, Sean McQuade, Rahul Bhadani, Matt Bunting, Maria Laura Delle Monache, Roman Lysecky, Benjamin Seibold, Jonathan Sprinkle, Benedetto Piccoli, Daniel B. Work
Summary: This article assesses the string stability of seven 2018 model year vehicles equipped with ACC, finding that all models have string unstable ACC systems. Validation of this finding is done through driving experiments, with the data collected representing the largest publicly available comparative driving dataset on ACC equipped vehicles.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Transportation Science & Technology
Rezaur Rahman, Samiul Hasan, Mohamed H. Zaki
Summary: During hurricane evacuations, a 25% market penetration of vehicles equipped with ACC systems can reduce about 49.7% of traffic collisions, potentially helping to alleviate the significant delays commonly experienced during major evacuations.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Engineering, Electrical & Electronic
Zheng Chen, Byungkyu Brian Park, Jia Hu
Summary: The performance of automated vehicles can be improved by enabling vehicle-to-vehicle communication. A human-in-the-loop connected cruise control algorithm (hCCC) has been developed to take full advantage of vehicular connectivity for human-driven connected vehicles. hCCC allows for the coexistence of automatic control and the driver's actions, resulting in a more efficient and safe stabilization of the vehicle, with broader string-stable ranges compared to traditional human driving alone or acceleration-based connected cruise control systems.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Zhuwei Wang, Yu Gao, Chao Fang, Lihan Liu, Deze Zeng, Mianxiong Dong
Summary: This article introduces an optimal state-estimation-based control algorithm for regulating the longitudinal motion of connected cruise control (CCC) vehicles. The algorithm can handle stochastic communication delays, state noises, and channel interferences, enhancing vehicular platoon stability and exhibiting better system performance and control stability.
IEEE SYSTEMS JOURNAL
(2023)
Article
Transportation Science & Technology
Parthib Khound, Peter Will, Antoine Tordeux, Frank Gronwald
Summary: This paper presents a unified strategy to design ACC systems compensating lower-level time-lag, sensor time-delay, and input disturbance, by achieving over-damped string stability for homogeneous platoons.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Engineering, Civil
Minghao Shen, Chaozhe R. R. He, Tamas G. Molnar, A. Harvey Bell, Gabor Orosz
Summary: This paper focuses on designing an energy-efficient longitudinal controller for a connected automated truck that operates in mixed traffic conditions. The controller utilizes vehicle-to-everything (V2X) communication to gather information about connected vehicles beyond line of sight. A novel connected cruise control design is proposed, which incorporates delays to account for the finite propagation speed of traffic waves caused by distant connected vehicles. The speeds of non-connected vehicles are modeled as stochastic processes. The paper presents a fundamental theorem linking the spectral properties of motion signals to average energy consumption, and evaluates the controller using a combination of synthetic and real traffic data, demonstrating significant energy savings even with a low penetration of connected vehicles.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Sicong Guo, Gabor Orosz, Tamas G. G. Molnar
Summary: This paper considers mixed traffic with connected automated vehicles and human-driven vehicles. A control strategy is proposed for communicating pairs of connected automated vehicles to stabilize the human-driven traffic between them. It is shown that even with moderate connectivity, connected automated vehicle pairs achieve significant benefits compared to being disconnected.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Dongyao Jia, Haibo Chen, Zuduo Zheng, David Watling, Richard Connors, Jianbing Gao, Ying Li
Summary: The paper introduces an enhanced cloud-based predictive cruise control system that minimizes vehicle energy consumption through a data-driven traffic predictive model and instantaneous control algorithms, and its effectiveness is verified through simulations.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Transportation Science & Technology
Riccardo Dona, Konstantinos Mattas, Yinglong He, Giovanni Albano, Biagio Ciuffo
Summary: This paper investigates the application of multianticipation without inter-vehicle communication in adaptive cruise control (ACC) systems. The study shows that multianticipation improves stability and increases road capacity, addressing the problems currently faced by ACC systems.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Computer Science, Interdisciplinary Applications
Shiyao Yang, Mengxiao Du, Qun Chen
Summary: This paper investigates the impacts of connected and autonomous vehicles (CAVs) on traffic efficiency and safety. The results show that with the increase in CAV penetration rate, outflow increases, average speed distribution improves, and traffic efficiency is enhanced, while promoting traffic safety.
SIMULATION MODELLING PRACTICE AND THEORY
(2021)
Article
Transportation Science & Technology
Daegyu Lee, Seungwook Lee, Zheng Chen, B. Brian Park, David Hyunchul Shim
Summary: A cooperative longitudinal control strategy named CACCu was proposed to optimize intelligent cruise control through cooperation within a fleet, and field tests showed advantages of CACCu in control accuracy, ride comfort, and energy efficiency.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Review
Engineering, Civil
Ali Matin, Hussein Dia
Summary: Connected and automated vehicles (CAVs) in cooperative intelligent transportation systems (C-ITS) have the ability to exchange information with each other and the infrastructure. They can form platoons to achieve shorter time headways and bring potential benefits in terms of capacity, flow, fuel consumption and collisions. However, the existing literature assessing their impacts is fragmented and lacks solid evidence due to the limited deployment. This study uses a systematic literature review to establish the evidence base by analyzing and critiquing 347 journal publications from 2000 to 2021, and provides a valid and balanced perspective on CAVs and their impacts on traffic operations.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Mohit Garg, Melanie Bouroche
Summary: CAVs have potential to enhance traffic safety and efficiency, but they face challenges in mixed-traffic scenarios due to uncertainty in human driving behavior and unreliable communication networks. This study investigates the impact of CAVs on traffic safety and efficiency in realistic scenarios with imperfect communication, large-reaction time, vehicle modeling, and traffic scenarios.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Transportation
Yanyan Qin, Hao Wang
Summary: Understanding the string stability of connected and autonomous (CA) vehicles is crucial for evaluating the dynamics of regular-CA mixed vehicular flow. This study presents a framework that analytically derives the generalized string stability criterion of regular-CA platoons and validates its effectiveness through concrete car-following models. Simulation-based approaches are also utilized to fully capture car-following dynamics of vehicular flow.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2021)
Article
Transportation
Yanyan Qin, Hao Wang, Bin Ran
Summary: The study demonstrates that stability can qualitatively impact reductions in emissions and fuel consumption, providing a potential method for reducing emissions and fuel consumption in traffic.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Operations Research & Management Science
Yanyan Qin, Hao Wang, Daiheng Ni
Summary: This paper proposes a generalized framework of the Lighthill-Whitham-Richards (LWR) model for mixed vehicular flow incorporating both manual vehicles and cooperative adaptive cruise control (CACC) vehicles. Theoretical analysis shows that the kinematic wave speed propagating through the mixed platoon is related to the slope of the mixed fundamental diagram. This framework can be used to describe the propagation properties of small perturbations and shockwaves in mixed traffic flow scenarios.
TRANSPORTATION SCIENCE
(2021)
Article
Transportation
Yanyan Qin, Hao Wang
Summary: This study focuses on string stability of mixed traffic and proposes an analytical framework to analyze the stability of cooperative adaptive cruise control (CACC), adaptive cruise control (ACC), and human vehicles. By applying this framework to a specific example, the study examines the string stability from different perspectives and investigates the balance between stability and capacity for mixed traffic with CACC vehicles.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Transportation
Xianyue Peng, Hao Wang
Summary: This paper proposes a coordinated control model for arterials with asymmetric traffic demands, improving the operational performance of both directions by optimizing the throughput, reducing delay, and maximizing the bandwidth.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Transportation
Changze Li, Hao Wang, Yunxue Lu
Summary: This paper proposes two multi-path arterial progression models that can choose the signal structure of each intersection from multiple options, thereby alleviating the competing nature of multiple paths. Experiments show that these models are more capable of coping with certain challenging scenarios.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2023)
Article
Engineering, Electrical & Electronic
Leizhen Wang, Zhenliang Ma, Changyin Dong, Hao Wang
Summary: In this study, a human-centric multimodal deep traffic signal control method is proposed to coordinate multimodal traffic at intersections by considering the capacity of different traffic modes, aiming to minimize the waiting time per capita for each mode and ensure social equity. The experimental results demonstrate the superiority of the method over traditional signal control schemes and vehicle-centric RL methods, and it assigns higher priority to public transport.
IET INTELLIGENT TRANSPORT SYSTEMS
(2023)
Article
Transportation Science & Technology
Yanyan Qin, Qinzhong Luo, Hua Wang
Summary: This paper investigates the stability of a mixed CAV-CV-RV flow, examines the impact of CVs on stability, and proposes a CV management strategy for achieving stable traffic flow. Results indicate that CVs are more effective than CAVs in ensuring stability, and the market proportion of CVs can be managed to achieve a stable mixed flow.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Engineering, Civil
Gengyue Han, Yu Han, Hao Wang, Tiancheng Ruan, Changze Li
Summary: This paper proposes an adversarial reinforcement learning-based traffic control strategy that integrates adversarial learning into a multi-agent RL model to improve the generalization of the control strategy. Simulation results using SUMO demonstrate that the proposed approach performs better in reducing total time spent.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Construction & Building Technology
Changyin Dong, Hao Wang, Haipeng Zhang, Ming Zhang, Jun Guan, Zongjun Zhang, Qian Lin, Zewen Zuo
Summary: This study proposes an overall planning and transportation and on-site assembly method for modular integrated construction (MiC). By combining operations research and practical field construction scheduling experience, an operations scheduling solution is developed and compared with traditional empirical scheduling methods. The results show that the operations research scheduling model is superior under different traffic levels.
Article
Engineering, Electrical & Electronic
Changyin Dong, Yunjie Liu, Hao Wang, Daiheng Ni, Ye Li
Summary: This paper proposes a joint neural network model to imitate lane-changing behaviors. Simulation experiments are conducted to study heterogeneous traffic flow and evaluate its performance. The results show that the joint neural network can accurately predict lane-changing behaviors and vehicle trajectories. Additionally, the study finds that the market penetration rate of intelligent vehicles and the proportion of exit vehicles significantly affect traffic efficiency and safety.
Article
Computer Science, Information Systems
Yanyan Qin, Shuqing Li
Article
Computer Science, Information Systems
Yan-Yan Qin, Zhao-Yi He, Bin Ran
Article
Computer Science, Information Systems
Ke Ma, Hao Wang
