Intelligent Transportation Systems

An Integrated Physical/link-access Layer Model Of Packet Radio Architectures

Polydoros, Andreas
1994

The goal of this effort is to devise and analyze an integrated Physical/ Link-Access Layer Model of packet Radio Architectures, with application to the PATH/IVHS (Intelligent Vehicle Highway Systems) communication sub- system design between vehicles and infrastructure, as well as between vehicles on the move. The present report contributes to a generic conceptual model for system evaluation which can be used for quantification of the interaction between network layers. The research tasks that have been performed for achieving the project objectives include collection of data requirements...

Region-Wide Congestion Prediction and Control Using Deep Learning

Mohanty, Sudatta
Pozdnukhov, Alexey
Cassidy, Michael
2020

Traffic congestion is forecast for neighborhoods within a region using a deep learning model. The model is based on Long Short-Term Memory (LSTM) neural network architecture. It forecasts a congestion score, defined as the ratio of the vehicle accumulation inside a neighborhood to its trip completion rate. Inputs include congestion scores measured at earlier times in neighborhoods within a region, and three other real-time measures of regional traffic. The ideas are tested using Newell’s simplified theory of kinematic waves. Simplified street networks are featured first. Initial tests...

ITS in developing countries: strategic opportunities

Richardson, BC
Rodriguez, DA
1997

Development of intelligent transportation systems has taken on worldwide dimensions. For underdeveloped nations the desire to embrace ITS creates a formidable challenge. As noted by the authors, however, there is a window of opportunity for avoiding the costly mistakes while reproducing the successes experienced by industrialized countries. This article identifies potential obstacles, defines various strategies and suggests ITS can be used as an integrator to achieve true strategic regional plans so often neglected in developing areas.

A Comparison of GPS and Travel Diaries to Characterize Walking Behavior

Cho, G
Rodriguez, DA
Clifton, KJ
Evenson, K
2008

While travel diaries are widely used to investigate walking behavior, the emergence of portable GPS units provides an innovative approach to characterizing walking behavior. This study compares the number and duration of daily walking trips reported in travel diaries with data extracted from a portable GPS unit and identified as the same walking trips. The study had two phases: (1) We used 35 person-days of travel data to determine the best algorithm for identifying walking trips from GPS data. The best algorithm had high Pearson (0.89) and Spearman correlation (0.85).

Welcome to the Second International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2013)

Rodriguez, D
Harrison, R
Menzies, T
Turhan, B
2013

We would like to take this opportunity to welcome you to the Second International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2013). We aim to hold an interdisciplinary workshop in which the intersection of Artificial Intelligence and Software Engineering is explored and extended. This year we are holding a two-day workshop, with both state of the art and over the horizon submissions.

RAISE 2015

Harrison, R
Bener, AB
Turhan, B
Rodriguez, D
Mericli, C
Minku, LL
2015

The conference offers a note of thanks and lists its reviewers.

Software Engineering with Computational Intelligence and Machine Learning (SECIML) PROGRAM COMMITTEE

Khoshgoftaar, TM
Benatallah, B
Cukic, B
Gao, K
Jahnke, J
Last, M
Lee, J
Lounis, H
McMinn, P
Musilek, P
Pedrycz, W
Rodriguez, D
Seliya, J
Shepperd, M
Twala, B
Xu, Z
2007

Provides a listing of current committee members.

Implementing a Kalman Filtering Dynamic O-D Algorithm within Paramics- Analysing Quadstone Won Efforts for the Dynamic O-D Estimation Problem

Garcia, Reinaldo C.
2003

This Project moves forward from the accumulated knowledge garnered from MOU 4121. Over the last year a good deal of insights was obtained about the implementation of dynamic Origin-and-Destination (O-D) estimation. Under MOU 4121, the Kalman Filtering (KF) algorithm described in Hu et al. (2000) for dynamic O-D estimation was implemented. In this research, the implemented algorithm is incorporated to the microscopic traffic simulator Paramics.Paramics offers important and unprecedented features, such as high performance and scalability, to handle realistic real world traffic networks under...

RAISE 2016

Mericli, C
Minku, L
Miranskyy, A
Statchuk, C
Turhan, B
Bagheri, E
Rodriguez, D
2016

Provides a listing of current committee members and society officers.

Longitudinal Control Development For IVHS Fully Automated And Semi - Automated System: Phase III

Hedrick, J. K.
Garg, V.
Gerdes, J. C.
Maciuca, D. B.
Swaroop, D.
1997

This report focuses on longitudinal issues regarding modeling and control of vehicles in an Intelligent Transportation Systems (ITS) setting. Specifically, the report addresses the issue of vehicle control in an automated highway system, brake actuation and brake control. Recent research findings in the area of automated vehicle platooning on isolated lanes of an automated highway are included. Performance specifications, control system architecture, vehicle control algorithms, actuator and sensor specifications and communication requirements are also discussed. The report also addresses...