| Urban traffic flow prediction using a spatio-temporal random effects model YJ Wu, F Chen, CT Lu, S Yang Journal of Intelligent Transportation Systems 20 (3), 282-293, 2016 | 78 | 2016 |
| Mixture Models for Fitting Freeway Travel Time Distributions and Measuring Travel Time Reliability S Yang, YJ Wu Transportation Research Record: Journal of the Transportation Research Board …, 2016 | 51 | 2016 |
| Travel time reliability using the Hasofer–Lind–Rackwitz–Fiessler algorithm and kernel density estimation S Yang, A Malik, YJ Wu Transportation Research Record 2442 (1), 85-95, 2014 | 41 | 2014 |
| Travel mode identification using bluetooth technology S Yang, YJ Wu Journal of Intelligent Transportation Systems 22 (5), 407-421, 2018 | 33 | 2018 |
| GIS-based economic cost estimation of traffic accidents in St. Louis, Missouri S Yang, S Lu, YJ Wu Procedia-Social and Behavioral Sciences 96, 2907-2915, 2013 | 23 | 2013 |
| Can freeway traffic volume information facilitate urban accessibility assessment?: Case study of the city of St. Louis S Yang, X Liu, YJ Wu, J Woolschlager, SL Coffin Journal of Transport Geography 44, 65–75, 2015 | 16 | 2015 |
| Systematic clustering method to identify and characterise spatiotemporal congestion on freeway corridors J Ou, S Yang, YJ Wu, C An, J Xia IET Intelligent Transport Systems 12 (8), 826-837, 2018 | 14 | 2018 |
| Origin–destination-based travel time reliability S Yang, C An, YJ Wu, J Xia Transportation Research Record 2643 (1), 139-159, 2017 | 14 | 2017 |
| How accurate is your travel time reliability?—Measuring accuracy using bootstrapping and lognormal mixture models S Yang, P Cooke Journal of Intelligent Transportation Systems 22 (6), 463-477, 2018 | 13 | 2018 |
| A reliability-based transit trip planning model under transit network uncertainty Y Chen, S Yang, M Hu, YJ Wu Public Transport, 1-20, 2016 | 13 | 2016 |
| Estimating Freeway Travel Times Using the General Motors Model S Yang, W Yao-Jan, Z Yin, Y Feng Transportation Research Record: Journal of the Transportation Research Board …, 2016 | 10 | 2016 |
| Machine learning approach to decomposing arterial travel time using a hidden Markov model with genetic algorithm S Yang, M Chen, YJ Wu, C An Journal of Computing in Civil Engineering 32 (3), 04018005, 2018 | 9 | 2018 |
| Identification of transit farebox data errors: impacts on transit planning S Yang, YJ Wu, B Marion, IE Moses Public Transport 7, 457-473, 2015 | 7 | 2015 |
| Travel time reliability measures accommodating scheduling preferences of travelers M Rajabi-Bahaabadi, A Shariat-Mohaymany, S Yang Transportation Research Record 2673 (4), 708-721, 2019 | 6 | 2019 |
| Taxicab availability: empirical study of Kunshan, China S Yang, C An, YJ Wu, J Xia Transportation Research Record 2650 (1), 41-57, 2017 | 6 | 2017 |
| Integrated Modeling Framework for Highway Traffic Pollution Estimation and Dispersion S Yang, YJ Wu, J Woolschlager American Journal of Environmental Sciences 12 (3), 140-151, 2016 | 5 | 2016 |
| Freeway travel time estimation based on the general motors model: a genetic algorithm calibration framework S Yang, J Ou, Y Feng, Y Wang IET Intelligent Transport Systems 13 (7), 1154-1163, 2019 | 3 | 2019 |
| Estimating Freeway Travel Time Reliability for Traffic Operations and Planning S Yang The University of Arizona, 2016 | 2 | 2016 |
| Freeway travel time estimation using existing fixed traffic sensors: phase 1. YJ Wu, S Yang, S Abdoli Missouri. Dept. of Transportation. Research, Development and Technology Division, 2013 | 1 | 2013 |
| Data-Driven Approaches for Estimating Travel Time Reliability S Yang, YJ Wu Data-Driven Solutions to Transportation Problems, 81-110, 2019 | | 2019 |
