Wei (David) Fan
- The future of AI in transportation: challenges and opportunities?. Dans: International Journal of Transportation Science and Technology. :
- Mixed logit model based diagnostic analysis of bicycle-vehicle crashes at daytime and nighttime. Dans: International Journal of Transportation Science and Technology, v. 11, n. 4 (décembre 2022). (2022):
- Combined Decision Making of Congestion Pricing and Capacity Expansion: Genetic Algorithm Approach. Dans: Journal of Transportation Engineering, v. 140, n. 8 (août 2014). (2014):
- Exploring truck driver-injury severity at intersections considering heterogeneity in latent classes: A case study of North Carolina. Dans: International Journal of Transportation Science and Technology, v. 10, n. 2 (juin 2021). (2021):
- Applying Travel-Time Reliability Measures in Identifying and Ranking Recurrent Freeway Bottlenecks at the Network Level. Dans: Journal of Transportation Engineering, Part A: Systems, v. 143, n. 8 (août 2017). (2017):
- Developing a Systematic Method for Identifying and Ranking Freeway Bottlenecks Using Vehicle Probe Data. Dans: Journal of Transportation Engineering, Part A: Systems, v. 144, n. 3 (mars 2018). (2018):
- Modeling Actual Dwell Time for Rail Transit Using Data Analytics and Support Vector Regression. Dans: Journal of Transportation Engineering, Part A: Systems, v. 144, n. 11 (novembre 2018). (2018):
- Modeling bicycle volume using crowdsourced data from Strava smartphone application. Dans: International Journal of Transportation Science and Technology, v. 9, n. 4 (décembre 2020). (2020):
- A multinomial logit model of pedestrian-vehicle crash severity in North Carolina. Dans: International Journal of Transportation Science and Technology, v. 8, n. 1 (mars 2019). (2019):
- Optimal Variable Speed Limit Control at a Lane Drop Bottleneck: Genetic Algorithm Approach. Dans: Journal of Computing in Civil Engineering, v. 32, n. 6 (novembre 2018). (2018):