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CATS Lab's Projects

doe-e_sign icon doe-e_sign

In this project, we detect the binary codes on traffic e-signs.

filed-experiment-data-av_energy_consumption icon filed-experiment-data-av_energy_consumption

Data for research Shi, X., Yao, H., Liang, Z. and Li, X., 2021. An Empirical Study on Fuel Consumption of Commercial Automated Vehicles (Under review). Preprint: https://doi.org/10.13140/RG.2.2.22363.90407

filed-experiment-data-av_platooning_data icon filed-experiment-data-av_platooning_data

Data for reserach Shi, X. and Li, X., 2020. Empirical Study on Car Following Characteristics of Automated Vehicles with Different Headway Settings. Transportation Research Part C: Emerging Technologies.

shooting-heuristics_plots icon shooting-heuristics_plots

Code for for paper*Zhou, F., Li, X. & Ma, J. (2017). Parsimonious shooting heuristic for trajectory design of connected automated traffic part I: Theoretical analysis with generalized time geography. Transportation Research Part B, 95, 394-420. https://doi.org/10.1016/j.trb.2016.05.007

simplified-shooting-heuristics-code icon simplified-shooting-heuristics-code

Code for paper: Li, X., Ghiasi, A., Xu, Z. & Qu, X. (2018). A piecewise trajectory optimization model for connected automated vehicles: Exact optimization algorithm and queue propagation analysis. Transportation Research Part B, 118: 429-456. https://doi.org/10.1016/j.trb.2018.11.002

tradeoff-analysis icon tradeoff-analysis

Code for paper *Li, X. Trade-off between safety, mobility and stability in automated vehicle following control. Transportation Research Part B

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