Abstract
The analysis of the safety inter-vehicle distance plays important roles for driving assistant system, which can give the warning signal to drivers timely. In order to provide the drivers a warning signal about an impending collision reasonable and timely, safety inter-vehicle policies between host vehicle and preceding vehicle are proposed based on the longitudinal dynamics behaviors in this paper. First, by analyzing the driving force and resistance force generated from the road surface, the basis safety inter-vehicle distance is designed, in which the surface friction coefficient and the air’s visibility are considered. Taken the driving state of preceding vehicle into consideration, including braking hard until to a complete stop and braking with constant deceleration, the safety inter-vehicle policies are derived from the basis safety inter-vehicle distance, which is composed of the sliding distance, duration distance and deceleration distance. Finally, by comparing with the classic safety distances, the effectiveness and elasticity of the proposed inter-vehicle policies are illustrated.
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References
Lu, M., Wevers, K.: Forecasting and evaluation of traffic safety impacts: driving assistance systems against road infrastructure measures. IET Intell. Transp. Syst. 1(2), 117–123 (2007)
Reina, G., Johnson, D., Underwood, J.: Radar sensing for intelligent vehicles in urban environments. Sensors 15(6), 14661–14678 (2015)
Olivares-Mendez, M.A., Sanchez-Lopez, J.L., Jimenez, F., Campoy, P., Sajadi-Alamdari, S.A., Voos, H.: Vision-based steering control, speed assistance and localization for inner-cityvehicles. Sensors 16(3), 362 (2016)
Han, S.-Y., Zhang, C.-H., Tang, G.-Y.: Approximation optimal vibration for networked nonlinear vehicle active suspension with actuator time delay. Asian J. Control (2017). doi:10.1002/asjc.1419
Han, S.-Y., Tang, G.-Y., Chen, Y.-H., Yang, X.-X., Yang, X.: Optimal vibration control for vehicle active suspension discrete-time systems with actuator time delay. Asian J. Control 15, 1579–1588 (2013)
Han, S.-Y., Wang, D., Chen, Y.-H., Tang, G.-Y., Yang, X.-X.: Optimal tracking control for discrete-time systems with multiple input delays under sinusoidal disturbances. Int. J. Control Autom. Syst. 13, 292–301 (2015)
Zhou, J., Chen, C.L.P., Chen, L., Li, H.X.: A collaborative fuzzy clustering algorithm in distributed network environments. IEEE Trans. Fuzzy Syst. 22, 1443–1456 (2014)
Zhou, J., Chen, C.L.P., Chen, L., Li, H.X.: Fuzzy clustering with the entropy of attribute weights. Neurocomputing 198, 125–134 (2016)
Han, S.-Y., Chen, Y.-H., Tang, G.-Y.: Sensor fault and delay tolerant control for networked control systems subject to external disturbances. Sensors 17, 700 (2017)
Zhou, J., Chen, C.L.P., Chen, L., Li, H.X.: A user-customizable urban traffic information collection method based on wireless sensor networks. IEEE Trans. Intell. Transp. Syst. 14, 1119–1128 (2013)
Liu, B., Kamel, A.E.: V2X-based decentralized cooperative adaptive cruise control in the vicinity of intersections. IEEE Trans. Intell. Transp. Syst. 17(3), 644–658 (2016)
Bao, W., Chen, Y., Wang, D.: Prediction of protein structure classes with flexible neural tree. Bio-med. Materials Eng. 24(6), 3797–3806 (2014)
Han, S.-Y., Chen, Y.-H., Wang, L., Abraham, A.: Decentralized longitudinal tracking control for cooperative adaptive cruise control systems in a platoon. In: IEEE International Conference on Systems, Man, and Cybernetics, pp. 2013–2018 (2013)
Zheng, Y., Li, S.E., Wang, J., Cao, D., Li, K.: Stability and scalability of homogeneous vehicular platoon: study on the influence of information flow topologies. IEEE Trans. Intell. Transp. Syst. 17(1), 14–26 (2016)
Zhang, J., Ioannou, P.: Adaptive vehicle following control system with variable time headways. In: IEEE Conference on Decision and Control, pp. 12–15 (2009)
Dey, K.C., Wang, X., Wang, Y.: A review of communication, driver characteristics, and controls aspects of cooperative adaptive cruise control (CACC). IEEE Trans. Intell. Transp. Syst. 17(2), 491–509 (2016)
Zhao, J., Oya, M.: A safety spacing policy and its impact on highway traffic flow. In: IEEE Conference on Intelligent Vehicle Symposium, pp. 960–965 (2009)
Yanakiew, D., Kanellakopoulos, I.: A safety spacing policy and its impact on highway traffic flow. IEEE Trans. Veh. Technol. 47(4), 1365–1377 (1998)
Acknowledgments
This work was supported by the National Key Research and Development Plan (No. 2016YFC0106000), the National Natural Science Foundation of China (Grant No. 61640218, 61671220, 61573166, 61673357), the Shandong Distinguished Middle-aged and Young Scientist Encourage and Reward Foundation, China (Grant No. BS2014DX015, ZR2016FB14), the Project of Shandong Province Higher Educational Science and Technology Program, China (Grant No. J16LN07), the Shandong Province Key Research and Development Program, China (Grant No. 2016GGX101022).
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Zhong, XF., Yuan, N., Han, SY., Chen, YH., Wang, D. (2017). Safety Inter-vehicle Policy Based on the Longitudinal Dynamics Behaviors. In: Huang, DS., Jo, KH., Figueroa-García, J. (eds) Intelligent Computing Theories and Application. ICIC 2017. Lecture Notes in Computer Science(), vol 10362. Springer, Cham. https://doi.org/10.1007/978-3-319-63312-1_64
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DOI: https://doi.org/10.1007/978-3-319-63312-1_64
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