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Trajectory planning algorithm for merging control of heterogeneous vehicular platoon on curve road

    Chentong Bian Affiliation
    ; Guodong Yin Affiliation
    ; Liwei Xu Affiliation
    ; Ning Zhang Affiliation

Abstract

The main goal of this study is to propose a trajectory planning algorithm for the merging control of heterogeneous vehicular platoons. Merging control is essential for the application of vehicular platoons, by which vehicles can be coordinated to form a platoon in a lane. While most previous researches on merging control only considered the operation on straight roads and ramps. Few studies have investigated the merging operation on curve roads, which may hinder the application of platoons on general traffic environment. In this study, a trajectory planning algorithm is proposed for the merging control of heterogeneous vehicular platoons on curve roads with constant radius. The proposed algorithm consists of two stages for the operation of merging: the first stage is to align the vehicles in each lane to form a structure with a certain clearance; the second stage is to conduct a lane changing manoeuvre for each merging vehicle to form a platoon in a lane. In the proposed algorithm, the dynamic limits of speed and acceleration are considered. The distance of each vehicle can be guaranteed to avoid undesired collisions. Two simulations are carefully conducted for the merging control of heterogeneous vehicular platoons on a curve road to demonstrate the effectiveness of the proposed algorithm. The results of simulations indicate that the proposed algorithm is capable of the merging control of platoons on a curve road.

Keyword : heterogeneous vehicular platoon, merging control, trajectory planning, curve road, vehicular communication

How to Cite
Bian, C., Yin, G., Xu, L., & Zhang, N. (2022). Trajectory planning algorithm for merging control of heterogeneous vehicular platoon on curve road. Transport, 37(4), 279–290. https://doi.org/10.3846/transport.2022.17896
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Nov 22, 2022
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Amoozadeh, M.; Deng, H.; Chuan, C.-N.; Zhang H. M.; Ghosal, D. 2015. Platoon management with cooperative adaptive cruise control enabled by VANET, Vehicular Communications 2(2): 110–123. https://doi.org/10.1016/j.vehcom.2015.03.004

Awal, T.; Kulik, L.; Ramamohanrao, K. 2013. Optimal traffic merging strategy for communication- and sensor-enabled vehicles, in 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 6–9 October 2013, Hague, Netherlands, 1468–1474. https://doi.org/10.1109/ITSC.2013.6728437

Cao, W.; Mukai, M.; Kawabe, T.; Nishira, H.; Fujiki, N. 2013. Automotive longitudinal speed pattern generation with acceleration constraints aiming at mild merging using model predictive control method, in 2013 9th Asian Control Conference (ASCC), 23–26 June 2013, Istanbul, Turkey, 1–6. https://doi.org/10.1109/ASCC.2013.6606039

Ferreau, H. J.; Kirches, C.; Potschka, A.; Bock, H. G.; Diehl, M. 2014. qpOASES: a parametric active-set algorithm for quadratic programming, Mathematical Programming Computation 6(4): 327–363. https://doi.org/10.1007/s12532-014-0071-1

Goli, M.; Eskandarian, A. 2014. Evaluation of lateral trajectories with different controllers for multi-vehicle merging in platoon, in 2014 International Conference on Connected Vehicles and Expo (ICCVE), 3–7 November 2014, Vienna, Austria, 673–678. https://doi.org/10.1109/ICCVE.2014.7297633

Jeon, S. M.; Choi, J. W. 2001. Design of a hybrid controller for the platoon maneuvers, in SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers, 25–27 July 2001, Nagoya, Japan, 32–37. https://doi.org/10.1109/SICE.2001.977801

Kazerooni, E. S.; Ploeg, J. 2015. Interaction protocols for cooperative merging and lane reduction scenarios, in 2015 IEEE 18th International Conference on Intelligent Transportation Systems, 15–18 September 2015, Gran Canaria, Spain, 1964–1970. https://doi.org/10.1109/ITSC.2015.318

Lam, S.; Katupitiya, J. 2013. Cooperative autonomous platoon maneuvers on highways, in 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 9–12 July 2013, Wollongong, Australia, 1152–1157. https://doi.org/10.1109/AIM.2013.6584249

Li, S. E.; Zheng, Y.; Li, K.; Wang, J. 2015. An overview of vehicular platoon control under the four-component framework, in 2015 IEEE Intelligent Vehicles Symposium (IV), 28 June – 1 July 2015, Seoul, Korea, 286–291. https://doi.org/10.1109/IVS.2015.7225700

Lu, X.-Y.; Hedrick, K. J. 2000. Longitudinal control algorithm for automated vehicle merging, in Proceedings of the 39th IEEE Conference on Decision and Control, 12–15 December 2000, Sydney, Australia, 1: 450–455. https://doi.org/10.1109/CDC.2000.912805

Lu, X.-Y.; Tan H.-S; Shladover, S. E.; Hedrick, J. K. 2004. Automated vehicle merging maneuver implementation for AHS, Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility 41(2): 85–107. https://doi.org/10.1076/vesd.41.2.85.26497

Papadimitriou, I.; Tomizuka, M. 2003. Fast lane changing computations using polynomials, in Proceedings of the 2003 American Control Conference, 2003, 4–6 June 2003, Denver, CO, US, 1: 48–53. https://doi.org/10.1109/ACC.2003.1238912

Rai, R.; Sharma, B.; Vanualailai, J. 2015. Real and virtual leader-follower strategies in lane changing, merging and overtaking maneuvers, in 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), 2–4 December 2015, Nadi, Fiji, 1–12. https://doi.org/10.1109/APWCCSE.2015.7476127

Sakaguchi, T.; Uno, A.; Tsugawa, S. 1997. An algorithm for merging control of vehicles on highways, in Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS’97, 11 September 1997, Grenoble, France, 3: V15-V16. https://doi.org/10.1109/IROS.1997.656800

Uno, A.; Sakaguchi, T.; Tsugawa, S. 1999. A merging control algorithm based on inter-vehicle communication, in Proceedings 199 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems, 5–8 October 1999, Tokyo, Japan, 783–787. https://doi.org/10.1109/ITSC.1999.821160

Wu, L.; Chen, X. 2008. The automated vehicle merging based on virtual platoon, in 2008 IEEE International Conference on Automation and Logistics, 1–3 September 2008, Qingdao, China, 1938–1941. https://doi.org/10.1109/ICAL.2008.4636477

Yu, K.; Yang, H.; Tan, X.; Kawabe, T.; Guo, Y.; Liang, Q.; Fu, Z.; Zheng, Z. 2016. Model predictive control for hybrid electric vehicle platooning using slope information, IEEE Transactions on Intelligent Transportation Systems 17(7): 1894–1909. https://doi.org/10.1109/TITS.2015.2513766