Research Output per year
Research Output 1986 2020
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 conference › Paper
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 conference › Paper
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 conference › Paper
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 conference › Paper
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 conference › Paper
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 conference › Paper
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 conference › Paper
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 conference › Paper
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 conference › Paper
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 conference › Paper
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 conference › Paper
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 conference › Paper
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 conference › Paper
Travel time
Heuristic algorithms
Computational efficiency