Latest News
π May 7, 2026
π Track Inspection Project with PATH
INTIS Lab collaborated with PATH to conduct field testing on rail track corrugation and weld conditions. The team collected measurement data to better understand track surface irregularities, weld performance, and potential safety concerns. This collaboration supports the development of data-driven rail infrastructure assessment methods, helping improve maintenance planning, strengthen track reliability, and promote safer railway operations for passengers, workers, and surrounding communities across the regional network through continuous research and innovation.
π December 2, 2025
π€ Prof. Yun Bai delivers Bruce Podwal Seminar at CCNY
Prof. Yun Bai delivered the Bruce Podwal Seminar at CCNY, sharing an integrated framework for risk-based highway transportation infrastructure management that unites quantitative risk analysis with economic impact analysis to guide maintenance and investment decisions. Drawing on a U.S. Virgin Islands case study that considers coastal flooding and sea level rise, the talk highlighted how bidirectional feedback between routine asset management and extreme-event risk mitigation can prioritize projects, quantify resilience benefits, and support capital planning for transportation agencies operating under fiscal constraints. The seminar further discussed translating analytical outputs into decision-support tools, enabling agencies to compare resilience strategies, justify funding, and design scalable practices applicable across diverse infrastructure networks and hazard profiles.
π November 2025
π°οΈ PhD Student Chenglue Huang presents poster at NJIT GSA
Poster: Deep Residual Network-Based Detection of Train Acoustic Warning Signals
PhD Student Chenglue Huang presented a poster at the NJIT Graduate Student Association forum, showcasing a lightweight, customized ResNet for real-time detection of train horns and bells. The work addresses a key gap in rail-grade crossing safety: acoustic warnings often provide the earliest signal when visibility is poor, yet legacy detectors struggle with short, high-noise events. Trained on 900+ hours of field audio from the Greater Boston area, the model leverages logβmel spectrograms, focal loss, and SpecAugment to stay robust amid traffic, crowd noise, and weather. By enabling low-latency, edge-ready acoustic sensing, the approach complements camera-based systems and strengthens multimodal monitoring for rail safety and intelligent infrastructure.
π October 2025
π Track inspection project with Rutgers CAIT
INTIS Lab is collaborating with Rutgers CAIT on a rail track inspection initiative headquartered at 18 Throckmorton St, Freehold, NJ 07728. The team is deploying multi-sensor data collection (vision, vibration, and acoustic sensing) alongside AI-driven defect detection to assess rail integrity, joint conditions, and ballast health.
The project will produce a repeatable inspection workflow that fuses field data with historical maintenance logs to prioritize interventions, reduce inspection cycles, and inform capital planning. Early pilots are guiding a scalable toolkit for agencies to enhance safety, resilience, and cost-effective maintenance across regional rail corridors.
π February 4, 2025
π Launch of the Intelligent Transportation Lab at NJIT
We proudly announce the establishment of the Intelligent Transportation Lab (INTR Lab), a pioneering research center dedicated to advancing the future of smart mobility and transportation infrastructure at NJIT.
This state-of-the-art laboratory integrates artificial intelligence, machine learning, and big data analytics into real-world transportation systems, fostering safer, more efficient, and sustainable mobility solutions.
π Research Focus Areas:
- π£οΈ Transportation Infrastructure Management
- π Multimodal Smart Mobility & Freight Logistics
- π AI-based Tansportation Data Analytics
The launch of the INTR Lab marks a significant milestone in NJITβs commitment to shaping the future of intelligent transportation. Collaborations with academia, government, and industry partners will drive groundbreaking research and real-world applications in mobility solutions.
Stay tuned for upcoming research initiatives, partnerships, and opportunities to join this transformative journey.
Welcome to the future of transportation innovation at NJIT!