Laurence R Rilett, PhD

Professor

  • 2221 Citations
  • 25 h-Index
1986 …2020
If you made any changes in Pure, your changes will be visible here soon.

Research Output 1986 2020

Filter
Paper
2014
1 Citation (Scopus)

A train speed measurement and arrival time prediction system for highway-rail grade crossings

Chen, Y. & Rilett, L. R., Jan 1 2014.

Research output: Contribution to conferencePaper

Rails
Traffic signals
Kinematics
Pedestrian safety
traffic
2 Citations (Scopus)

Predicting corridor travel time reliability in real time using bluetooth data

Wu, Z. & Rilett, L. R., Jan 1 2014.

Research output: Contribution to conferencePaper

Bluetooth
Travel time
travel
time
Information systems
2004
81 Citations (Scopus)

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

Vanajakshi, L. & Rilett, L. R., Sep 27 2004, p. 194-199. 6 p.

Research output: Contribution to conferencePaper

Support vector machines
Artificial Neural Network
Support Vector Machine
Advanced traffic management systems
Advanced traveler information systems
103 Citations (Scopus)

Bus arrival time prediction using artificial neural network model

Jeong, R. & Rilett, L. R., Dec 1 2004, p. 988-993. 6 p.

Research output: Contribution to conferencePaper

Neural networks
Travel time
2002
1 Citation (Scopus)

Calibration of micro-simulation supply and demand parameters using bi-level algorithm

Kim, K. & Rilett, L. R., Jan 1 2002, p. 902-909. 8 p.

Research output: Contribution to conferencePaper

Calibration
Genetic algorithms
Testing

Forecasting train arrival time using modular artificial neural networks

Cho, H. & Rilett, L. R., Jan 1 2002, p. 852-860. 9 p.

Research output: Contribution to conferencePaper

Crossings (pipe and cable)
Railroads
Neural networks
Testing

Improving the representation of individual vehicles in traffic micro-simulation modeling

Jenkins, J., Rilett, L. R. & Engelbrecht, R., Jan 1 2002, p. 778-786. 9 p.

Research output: Contribution to conferencePaper

Simulators
Computer simulation

Lessons learned using ITS data sources to estimate corridor travel time mean and variance

Eisele, W. L. & Rilett, L. R., Jan 1 2002, p. 48-55. 8 p.

Research output: Contribution to conferencePaper

Travel time
Commercial vehicles
Inductance
Detectors
2001
10 Citations (Scopus)

Genetic-algorithm-based approach for calibrating microscopic simulation models

Kim, K. O. & Rilett, L. R., Jan 1 2001, p. 698-704. 7 p.

Research output: Contribution to conferencePaper

Genetic algorithms
Calibration
40 Citations (Scopus)

Non-linear analysis of traffic flow

Nair, A. S., Liu, J. C., Rilett, L. & Gupta, S., Jan 1 2001, p. 681-685. 5 p.

Research output: Contribution to conferencePaper

Time series analysis
Highway systems
Nonlinear analysis
Inductance
Time series
1998
14 Citations (Scopus)

Forecasting multiple-period freeway link travel times using neural networks with expanded input nodes

Park, D., Rilett, L. R. & Han, G., Jan 1 1998, p. 325-332. 8 p.

Research output: Contribution to conferencePaper

Highway systems
Travel time
Neural networks
Automatic vehicle identification
1995
1 Citation (Scopus)

Dynamic O-D travel time estimation using an artificial neural network

Fu, L. & Rilett, L. R., Jan 1 1995, p. 236-242. 7 p.

Research output: Contribution to conferencePaper

Travel time
Neural networks
Feedforward neural networks
Computational efficiency
7 Citations (Scopus)

Estimation of expected minimum paths in dynamic and stochastic traffic networks

Fu, L. & Rilett, L. R., Jan 1 1995, p. 200-205. 6 p.

Research output: Contribution to conferencePaper

Travel time
Heuristic algorithms
Computational efficiency