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Freight logistics and optimization Integrating freight and passenger systems Vehicles and infrastructure

Status

Complete

Project Timeline

January 1, 2024 - December 31, 2024

Principal Investigator

Stephen Ritchie

Project Team

Andre (Yeow Chern) Tok, Mingqi Yao

Sponsor & Award Number

Caltrans:PSR:2023-24: SCON-00006419

Areas of Expertise

Freight, Logistics, & Supply Chain Intelligent Transportation Systems, Emerging Technologies, & Big Data

Team Departmental Affiliation

Civil and Environmental Engineering

Project Summary

The objective of this study is to develop and demonstrate a prototype truck tracking system that integrates WIM, ALPR and Inductive Signature-based technologies that can estimate path-based volumes by vehicle categories. The study will leverage several current and upcoming multi-sensor detector testbed locations at I-710 near the Port of Long Beach (ALPR, inductive signature technology), I405 at Van Nuys (WIM, ALPR and inductive signature technology) and SR-60 at Chino (ALPR and inductive signature technology). Trucks may traverse different routes between these locations. Hence, additional standalone inductive signature sites between these multi-sensor sites will serve as intermediate sensor locations to determine route pathways in the development and testing of the proposed truck tracking system. The data from this tracking system will drive a new FML2 dashboard interface that will be developed as a part of this study to display interactive freight activity metrics such as route heatmaps by truck type.

Related Publications

published journal article | Jan 2025

Adaptive Self-Learning Framework for Resilient Vehicle Classification Through the Integration of Inductive Loops and LiDAR Sensors
IEEE Open Journal of Intelligent Transportation Systems

Read more
research report | Dec 2024

Route-based Freight Activity Metrics along the California State Highway System through a Pilot Multi Sensor Fusion System

Read more

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