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Study on the framework of hybrid collision warning system using loop detectors and vehicle information JOURNAL ARTICLE published December 2016 in Transportation Research Part C: Emerging Technologies |
Detecting the occurrence times and locations of multiple traffic crashes simultaneously with probe vehicle data JOURNAL ARTICLE published May 2021 in Transportation Research Part C: Emerging Technologies |
Learning routing policies in a disrupted, congestible network with real-time information: An experimental approach JOURNAL ARTICLE published September 2019 in Transportation Research Part C: Emerging Technologies |
MSGNN: A Multi-structured Graph Neural Network model for real-time incident prediction in large traffic networks JOURNAL ARTICLE published November 2023 in Transportation Research Part C: Emerging Technologies |
Open vs closed-ended questions in attitudinal surveys – Comparing, combining, and interpreting using natural language processing JOURNAL ARTICLE published April 2022 in Transportation Research Part C: Emerging Technologies |
A Spatial Hazard-Based analysis for modelling vehicle selection in station-based carsharing systems JOURNAL ARTICLE published November 2016 in Transportation Research Part C: Emerging Technologies Research funded by Australian Research Council (#LP130100983) |
How public interest and concerns about autonomous vehicles change over time: A study of repeated cross-sectional travel survey data of the Puget Sound Region in the Northwest United States JOURNAL ARTICLE published December 2021 in Transportation Research Part C: Emerging Technologies |
From cellular positioning data to trajectories: Steps towards a more accurate mobility exploration JOURNAL ARTICLE published August 2020 in Transportation Research Part C: Emerging Technologies |
Network Signal Setting Design: Meta-heuristic optimisation methods JOURNAL ARTICLE published June 2015 in Transportation Research Part C: Emerging Technologies |
Synthetic household travel survey data simulation JOURNAL ARTICLE published December 2010 in Transportation Research Part C: Emerging Technologies |
Framework for airspace planning and design based on conflict risk assessment JOURNAL ARTICLE published October 2012 in Transportation Research Part C: Emerging Technologies |
Temporal logic learning-based anomaly detection in metroplex terminal airspace operations JOURNAL ARTICLE published May 2021 in Transportation Research Part C: Emerging Technologies |
Effect of providing traffic information estimated by a stochastic network equilibrium model with stochastic demand JOURNAL ARTICLE published September 2016 in Transportation Research Part C: Emerging Technologies |
Stochastic conformal anomaly detection and resolution for air traffic control JOURNAL ARTICLE published September 2023 in Transportation Research Part C: Emerging Technologies Research funded by Ministry of Land, Infrastructure and Transport (RS-2020-KA158275) |
Worldwide city transport typology prediction with sentence-BERT based supervised learning via Wikipedia JOURNAL ARTICLE published June 2022 in Transportation Research Part C: Emerging Technologies |
Pareto-improving seat allocation for high-speed railway networks with equilibrium flows JOURNAL ARTICLE published September 2023 in Transportation Research Part C: Emerging Technologies |
The long road to automated trucking: Insights from driver focus groups JOURNAL ARTICLE published November 2023 in Transportation Research Part C: Emerging Technologies Research funded by Nederlandse Organisatie voor Wetenschappelijk Onderzoek (438-15-161) |
Cooperative bus holding and stop-skipping: A deep reinforcement learning framework JOURNAL ARTICLE published October 2023 in Transportation Research Part C: Emerging Technologies Research funded by Office of Energy Efficiency and Renewable Energy (DE-EE0009211) |
Estimate the limit of predictability in short-term traffic forecasting: An entropy-based approach JOURNAL ARTICLE published May 2022 in Transportation Research Part C: Emerging Technologies |
Effects of real-time warning systems on driving under fog conditions using an empirically supported speed choice modeling framework JOURNAL ARTICLE published January 2018 in Transportation Research Part C: Emerging Technologies |