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Real-Time Driver and Traffic Data Integration for Enhanced Road Safety
Traditional roadway safety assessment heavily relies on historical crash data, overlooking real-time factors such as driver behaviors and current traffic conditions and lacking forward-looking analysis for predicting future trends. This study introduces an enhanced innovative data fusion method based on the safe route mapping (SRM) methodology with combined use of historical crash data and real-ti...Show More
Hash-Based Gaussian Mixture Model (HGMM) for Roadside LiDAR Smart Infrastructure Applications
Tianya Terry Zhang;Yi Ge;Anjiang Chen;Mina Sartipi;Peter J. Jin
This paper proposes a point cloud background filtering method and explores applications that integrate LiDAR technology into roadside sensor networks, addressing challenges in handling large volumes of sparse and unstructured 3D data. Traditional methods, which classify background points based on descriptive statistics over many frames, are computationally inefficient for roadside LiDAR surveillan...Show More
Car-Following Models: A Multidisciplinary Review
Tianya Terry Zhang;Peter J. Jin;Sean T. McQuade;Alexandre Bayen;Benedetto Piccoli
IEEE Transactions on Intelligent Vehicles
Year: 2024 | Early Access Article |
Car-following (CF) algorithms are crucial components of traffic simulations and have been integrated into many production vehicles equipped with Advanced Driving Assistance Systems (ADAS). Insights from the model of car-following behavior help researchers to understand the causes of various macro phenomena that arise from interactions between pairs of vehicles. Car-following Models encompass multi...Show More
Segmentation is Tracking: Spatial-Temporal Map Vehicle Trajectory Reconstruction and Validation
This paper proposed the “Segmentation is traCKing” (SiCK) solution that extract vehicle movements with semantic segmentation for high-resolution trajectory reconstruction and validation. The dynamic mode decomposition (DMD) method extracts vehicle strands by decomposing the spatial-temporal map (STMap) into the sparse foreground and low-rank background. The Res-UNet+ neural networks was designed b...Show More
A Feature-Based Approach to Large-Scale Freeway Congestion Detection Using Full Cellular Activity Data
Most existing cellular probe-based freeway congestion detection methods rely on on-call WLT (Wireless Location Technologies) signal transition data. However, these techniques facing difficulties such as small sample size, frequent road tests, safety, and privacy issues. This article presents a novel approach using the FCA data for traffic congestion detection on freeways. Two cellular activity fea...Show More
Autonomous Vehicle-Intersection Coordination Method in a Connected Vehicle Environment
In response to the need for developing coordinated schemes of autonomous vehicles (AVs) at an intersection. This paper presents a novel coordination method for intersection management in a connected vehicle environment. The road network is divided into three logical sections, namely, buffer area, core area and free driving area. In addition, a buffer-assignment mechanism is developed to cooperativ...Show More
Short-Term Traffic Prediction Based on Dynamic Tensor Completion
Short-term traffic prediction plays a critical role in many important applications of intelligent transportation systems such as traffic congestion control and smart routing, and numerous methods have been proposed to address this issue in the literature. However, most, if not all, of them suffer from the inability to fully use the rich information in traffic data. In this paper, we present a nove...Show More
Reducing the Error Accumulation in Car-Following Models Calibrated With Vehicle Trajectory Data
With the development of probe vehicle technologies and the emerging connected vehicle technologies, applications and models using trajectory data for calibration and validation significantly increase. However, the error accumulation issue accompanied by the calibration process has not been fully investigated and addressed. This paper explores the mechanism and countermeasures of the error accumula...Show More
Analyzing the impact of false-accident cyber attacks on traffic flow stability in connected vehicle environment
Peter J. Jin;Guohui Zhang;C. Michael Walton;Xiaowen Jiang;Amit Singh
2013 International Conference on Connected Vehicles and Expo (ICCVE)
Year: 2013 | Conference Paper |
Cited by: Papers (6)
With the rapid development of connected vehicle (CV) technologies, cyber security issues in the vehicular network has emerged as serious concerns for successful deployment of CV systems. In the existing literature, the analysis of the cyber security impacts has been primarily focused from the computer science perspectives investigating potential attacking scenarios and counter-measures through net...Show More
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