Intelligent Transportation Systems

Integration of Hardware and Software for Battery Hardware-in-the-Loop Toward Battery Artificial Intelligence

Park, Saehong
Moura, Scott
Lee, Kyoungtae
2024

This article demonstrates a novel, compact-sized hardware-in-the-loop (HIL) system, and its verification using machine learning (ML) and artificial intelligence (AI) features in battery controls. Conventionally, a battery management system (BMS) involves algorithm development for battery modeling, estimation, and control. These tasks are typically validated by running the battery tester open-loop, i.e., the tester equipment executes the predefined experimental protocols line by line. Additional equipment is required to make the testing closed-loop, but the integration is typically not...

A New Framework for Nonlinear Kalman Filters

Jiang, Shida
Shi, Junzhe
Moura, Scott
2025

The Kalman filter (KF) is a state estimation algorithm that optimally combines system knowledge and measurements to minimize the mean squared error of the estimated states. While KF was initially designed for linear systems, numerous extensions of it, such as extended Kalman filter (EKF), unscented Kalman filter (UKF), cubature Kalman filter (CKF), etc., have been proposed for nonlinear systems over the last sixty years. Although different types of nonlinear KFs have different pros and cons, they all use the same framework of linear KF. Yet, according to our theoretical and empirical...

Evaluation of Alternative AHS System Operating Concepts

Daganzo, Carlos F.
Cayford, Randall
Lin, Wei-Hua
1995

This paper focuses on technical and economic investigations of automated highway systems (AHS). It attempts to show that the actual viable implementation opportunities for AHS are scarce. The paper begins with an investigation that looks at realistic estimates of AHS capacity, interfacing with the local street system, and storage issues. The authors then identify criteria to help in determining which types of urban areas might be potential candidates for AHS technologies. Certain locations where AHS might be beneficial are identified, but doubt is raised regarding the extent of the...

Technical and Economic Viability of Automated Highway Systems: Preliminary Analysis

del Castillo, Jose M.
Lovell, David J.
Daganzo, Carlos F.
1997

Technical and economic investigations of automated highway systems (AHS) are addressed. It has generally been accepted that such systems show potential to alleviate urban traffic congestion, so most of the AHS research has been focused instead on technical design and implementation issues. It is demonstrated that, despite making a number of assumptions that are favorable to AHS, the actual viable implementation opportunities for AHS are scarce, and that most existing congested urban areas can be disqualified on the basis of at least one criterion developed herein. Technical investigations...

Mobile Millennium Final Report

Bayen, Alexandre M.
Butler, Joe
Patire, Anthony D.
2011

Mobile Millennium is a research project that includes a pilot traffic-monitoring system that uses the GPS in cellular phones to gather traffic information, process it, and distribute it back to the phones in real time.

Virtual Trip Lines for Distributed Privacy-Preserving Traffic Monitoring

Hoh, Baik
Gruteser, Marco
Herring, Ryan
Ban, Jeff
Work, Daniel
Bayen, Alexander M.
2008

Automotive traffic monitoring using probe vehicles with Global Positioning System receivers promises significant improvements in cost, coverage, and accuracy. Current approaches, however, raise privacy concerns because they require participants to reveal their positions to an external traffic monitoring server. To address this challenge, we propose a system based on virtual trip lines and an associated cloaking technique. Virtual trip lines are geographic markers that indicate where vehicles should provide location updates. These markers can be placed to avoid particularly privacy...

An Ensemble Kalman Filtering Approach to Highway Traffic Estimation Using GPS Enabled Mobile Devices

Work, Daniel B.
Tossavainen, Olli‐Pekka
Blandin, Sébastien
Bayen, Alexandre M.
Iwuchukwu, Tochukwu
Tracton, Kenneth
2008

Traffic state estimation is a challenging problem for the transportation community due to the limited deployment of sensing infrastructure. However, recent trends in the mobile phone industry suggest that GPS equipped devices will become standard in the next few years. Leveraging these GPS equipped devices as traffic sensors will fundamentally change the type and the quality of traffic data collected on large scales in the near future. New traffic models and data assimilation algorithms must be developed to efficiently transform this data into usable traffic information. In this work, we...

Guaranteed Bounds on Highway Travel Times Using Probe and Fixed Data

Claudel, Christian G.
Bayen, Alexandre M.
2009

This article investigates the problem of incorporating mobile probe data collected from GPS equipped cell phones into estimation algorithms for travel time. We use kinematic wave theory to create a modeling framework capable of incorporating trajectory data into the model. The problem of including loop detector data in this model is performed using a standard approach available in the literature. The problem of fusing this data with probe data is formulated using the Moskowitz function, which results from kinematic wave theory. Using this formulation, two linear programs are posed to...

Lagrangian sensing: traffic estimation with mobile devices

Work, Daniel B.
Tossavainen, Olli‐Pekka
Jacobson, Quinn
Bayen, Alexandre M.
2009

An inverse modeling algorithm is developed to reconstruct the state of traffic (velocity field) on highways from GPS measurements gathered from mobile phones traveling on-board vehicles. The algorithm is based on ensemble Kalman filtering (EnKF), to overcome the nonlinearity and non-differentiability of a distributed highway traffic model for velocity. The algorithm is implemented in an architecture which includes GPS enabled phones and a privacy aware data collection infrastructure based on the novel concept of virtual trip lines (a technology developed by Nokia). The data collection...

Path and travel time inference from GPS probe vehicle data

Hunter, Timothy
Herring, Ryan
Bayen, Alexandre M.
2009

We consider the problem of estimating real-time traffic conditions from sparse, noisy GPS probe vehicle data. We specifically address arterial roads, which are also known as the secondary road network (highways are considered the primary road network). We consider several estimation problems: historical traffic patterns, real-time traffic conditions, and forecasting future traffic conditions. We assume that the data available for these estimation problems is a small set of sparsely traced vehicle trajectories, which represents a small fraction of the total vehicle flow through the network. We...