Driving Style Recognition Incorporating Risk Surrogate by Support Vector Machine
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-2324-0_13
Reference29 articles.
1. Gao, K., Tu, H., Sun, L., et al.: Impacts of reduced visibility under hazy weather condition on collision risk and car-following behavior: implications for traffic control and management. Int. J. Sustain. Transp. 14(8), 635–642 (2020)
2. Zhou, M., Qu, X., Li, X.: A recurrent neural network based microscopic car following model to predict traffic oscillation. Transp. Res. Part C Emerg. Technol. 84, 245–264 (2017)
3. Zheng, Y., Li, S.E., Wang, J., et al.: Stability and scalability of homogeneous vehicular platoon: study on the influence of information flow topologies. IEEE Trans. Intell. Transp. Syst. 17(1), 14–26 (2015)
4. Gao, K., Yang, Y., Li, A., Li, J., Yu, B.: Quantifying economic benefits from free-floating bike-sharing systems: a trip-level inference approach and city-scale analysis. Transp. Res. Part A Policy Pract. 144, 89–103 (2021)
5. Xu, Y., Zheng, Y., Yang, Y.: On the movement simulations of electric vehicles: a behavioral model-based approach. Appl. Energy 283, 116356 (2021)
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