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Laurence R. Rilett

Laurence R. Rilett

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
5964
World Ranking
9351
National Ranking
2625

Overview

Laurence R. Rilett is affiliated with Auburn University in the United States and has contributed extensively to the fields of engineering and social sciences, with a particular focus on transportation. Their research encompasses several subfields including transportation, control and systems engineering, building and construction, safety, risk, reliability and quality, and automotive engineering.

The main topics of their work include:

  • Transportation Planning and Optimization
  • Traffic control and management
  • Traffic Prediction and Management Techniques
  • Traffic and Road Safety
  • Vehicle emissions and performance
  • Transportation Safety and Impact Analysis
  • Urban Transport and Accessibility

Laurence R. Rilett has published in a variety of academic venues. The most frequent publication venues are:

  • Journal of Transportation Engineering Part A Systems
  • Transportation Research Record Journal of the Transportation Research Board
  • International Journal of Urban Sciences
  • Journal of Transportation Safety & Security
  • CICTP 2020

The following recent papers reflect some of their recent research output:

  • The COVID-19 Pandemic and Transportation Engineering, 2020, Journal of Transportation Engineering Part A Systems
  • Driving Coverage of Charging Stations for Battery Electric Trucks Located at Truck Stop Facilities, 2021, Transportation Research Record Journal of the Transportation Research Board
  • Arterial Roadway Travel Time Reliability and the COVID-19 Pandemic, 2021, Journal of Transportation Engineering Part A Systems
  • Impact of CAV Truck Platooning on HCM-6 Capacity and Passenger Car Equivalent Values, 2020, Journal of Transportation Engineering Part A Systems
  • Calibrating the Highway Capacity Manual Arterial Travel Time Reliability Model, 2020, Journal of Transportation Engineering Part A Systems

Collaboration is a notable aspect of their work with frequent co-authors including:

  • Li Zhao
  • Ernest Tufuor
  • Chris Hendrickson
  • Antonio Hurtado-Beltrán
  • Mm Shakiul Haque

Laurence R. Rilett's research addresses a range of transportation-related challenges such as traffic control, travel time reliability, vehicle emissions, and the integration of emerging technologies like connected and autonomous vehicles (CAV) within transportation systems. Their work frequently appears in engineering and transportation-focused journals and conferences, indicating a strong emphasis on applying control and systems engineering principles to optimize transportation infrastructure and safety.

Overall, their scholarly contributions support the understanding and advancement of transportation systems with an interdisciplinary approach grounded in both engineering and social sciences.

Best Publications

  • Heuristic shortest path algorithms for transportation applications: state of the art

    L. Fu;D. Sun;L. R. Rilett

  • Expected shortest paths in dynamic and stochastic traffic networks

    Liping Fu;L.R. Rilett

  • Forecasting Freeway Link Travel Times with a Multilayer Feedforward Neural Network

    Dongjoo Park;Laurence R. Rilett

  • Forecasting Multiple-Period Freeway Link Travel Times Using Modular Neural Networks

    Dongjoo Park;Laurence R. Rilett

  • Spectral Basis Neural Networks for Real-Time Travel Time Forecasting

    Dongjoo Park;Dongjoo Park;Laurence R. Rilett;Laurence R. Rilett;Gunhee Han;Gunhee Han

  • Bus arrival time prediction using artificial neural network model

    Unknown

  • A comparison of the performance of artificial neural networks and support vector machines for the prediction of traffic speed

    L. Vanajakshi;L.R. Rilett

  • Support Vector Machine Technique for the Short Term Prediction of Travel Time

    L. Vanajakshi;L.R. Rilett

  • Calibration of microsimulation models using nonparametric statistical techniques

    Seung Jun Kim;Wonho Kim;Laurence R Rilett

  • Direct Forecasting of Freeway Corridor Travel Times Using Spectral Basis Neural Networks

    Laurence R. Rilett;Dongjoo Park

  • REAL-TIME OD ESTIMATION USING AUTOMATIC VEHICLE IDENTIFICATION AND TRAFFIC COUNT DATA

    Michael P. Dixon;L. R. Rilett

  • Equitable Traffic Assignment with Environmental Cost Functions

    Christine M. Benedek;Laurence R. Rilett

  • Transportation corridor decision-making with multi-attribute utility theory

    Josias Zietsman;Laurence R. Rilett;Seung Jun Kim

  • Improved Transit Signal Priority System for Networks with Nearside Bus Stops

    Wonho Kim;Laurence R Rilett

  • Dynamic and stochastic shortest path in transportation networks with two components of travel time uncertainty

    Parichart Pattanamekar;Dongjoo Park;Laurence R. Rilett;Jeomho Lee

  • ANALYSIS OF DISTRIBUTION AND CALIBRATION OF CAR-FOLLOWING SENSITIVITY PARAMETERS IN MICROSCOPIC TRAFFIC SIMULATION MODELS

    Grant G. Schultz;L. R. Rilett;L. R. Rilett

  • Traffic assignment under environmental and equity objectives

    Laurence R. Rilett;Christine M. Benedek

  • Simplex-Based Calibration of Traffic Microsimulation Models with Intelligent Transportation Systems Data

    Kyu Ok Kim;L. R. Rilett

  • Non-linear analysis of traffic flow

    A.S. Nair;Jyh-Charn Liu;L. Rilett;S. Gupta

  • Transportation Statistics and Microsimulation

    Clifford H. Spiegelman;Eun Sug Park;Laurence R. Rilett

  • Travel Time Prediction by Advanced Neural Network

    Lajos Kisgyörgy;Laurence R. Rilett

Frequent Co-Authors

Liping Fu
Liping Fu University of Waterloo
Chris Hendrickson
Chris Hendrickson Carnegie Mellon University
Wei Qiao
Wei Qiao University of Nebraska–Lincoln

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