Peter Jin

Assistant Professor

Rutgers University

United States

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About

Peter Jin is an Assistant Professor at Rutgers, The State University of New Jersey. His research areas focus on advanced vehicle trajectory reconstruction, roadside sensor optimization, and vehicle dynamics, as highlighted in his recent publications. His work emphasizes the integration of real-time driver and traffic data to enhance road safety and supports the development of smart infrastructure for connected and automated vehicles.

Articles (15)

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2025

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Peter Jin

Research Interests

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Articles (15)

LiDAR Vehicle Trajectory Reconstruction with Arterial Shockwave Detection and Space–Time Analysis

A Dynamic Blind Zone Simulation and Analysis Model for Roadside Light Detection and Ranging Sensor Deployment Considering the Full Roadway Terrain and Vehicle Dynamics

Car-Following Models: A Multidisciplinary Review

Hash-Based Gaussian Mixture Model (HGMM) for Roadside LiDAR Smart Infrastructure Applications

Real-Time Driver and Traffic Data Integration for Enhanced Road Safety

Roadside LiDAR Sensor Configuration Assessment and Optimization Methods for Vehicle Detection and Tracking in Connected and Automated Vehicle Applications

Arterial Vehicle Trajectory Reconstruction Based on Stopbar Video Sensor for Automated Traffic Signal Performance Measures

Segmentation is Tracking: Spatial-Temporal Map Vehicle Trajectory Reconstruction and Validation

Model predictive control policy design, solutions, and stability analysis for longitudinal vehicle control considering shockwave damping

Vehicle Detection and Tracking for 511 Traffic Cameras With U-Shaped Dual Attention Inception Neural Networks and Spatial-Temporal Map

Roadside LiDAR Vehicle Detection and Tracking Using Range and Intensity Background Subtraction

Enhanced Spatial–Temporal Map-Based Video Analytic Platform and Its Local- Versus Cloud-Based Deployment with Regional 511 Camera Network

Vehicle travel path recognition in urban dense road network environments by using mobile phone data

Detection of Traffic Pattern Based on Fuzzy Clustering and Wavelet Analysis Model at Different Signaling Positioning Frequencies

Optimization model for the freeway-exiting position decision problem of automated vehicles

Collaborators (5)

Deep Patel

Tianya Zhang

Thomas Brennan

Benedetto Piccoli

Anjiang Chen

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