Abstract
In this paper, we address the problem of safe and efficient intersection crossing traffic management of autonomous and connected ground traffic. Toward this objective, we propose an algorithm called the discrete-time occupancies trajectory based intersection traffic coordination algorithm (DICA). We show that the basic DICA has a computational complexity of \(\mathcal {O}(n^{2} {L_{m}^{3}})\) where n is the number of vehicles granted to cross an intersection and Lm is the maximum length of intersection crossing routes. To improve the overall computational efficiency of the algorithm, the basic DICA is enhanced by several computational approaches that are proposed in this paper. The enhanced algorithm has the computational complexity of \(\mathcal {O}(n^{2} L_{m} \log _{2} L_{m})\). The improved computational efficiency of the enhanced algorithm is validated through simulations using an open source traffic simulator called the simulation of urban mobility (SUMO). The overall throughput, as well as the computational efficiency of the enhanced algorithm, are also compared with those of an optimized traffic light control algorithm.
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References
Azimi S, Bhatia G, Rajkumar R, Mudalige P (2013) Reliable intersection protocols using vehicular networks. In: 2013 ACM/IEEE international conference on cyber-physical systems (ICCPS). IEEE, pp 1–10
Bengler K, Dietmayer K, Farber B, Maurer M, Stiller C, Winner H (2014) Three decades of driver assistance systems: review and future perspectives. IEEE Intell Transp Syst Mag 6(4):6–22
Board TR (2000) Highway capacity manual. National Academy of Sciences, Transportation Research Board, Washington DC
Carlino D, Boyles SD, Stone P (2013) Auction-based autonomous intersection management. In: 16th international IEEE conference on intelligent transportation systems (ITSC 2013). IEEE, pp 529–534
Cheng D, Tian ZZ, Messer CJ (2005) Development of an improved cycle length model over the highway capacity manual 2000 quick estimation method. J Transport Eng 131(12):890–897
Colombo A, Del Vecchio D (2012) Efficient algorithms for collision avoidance at intersections. In: Proceedings of the 15th ACM international conference on hybrid systems: computation and control. ACM, pp 145–154
DARPA: The darpa urban challenge (2007). http://archive.darpa.mil/grandchallenge/
Dresner K, Stone P (2008) A multiagent approach to autonomous intersection management. J Artif Intell Res 31:591–656
Guler SI, Menendez M, Meier L (2014) Using connected vehicle technology to improve the efficiency of intersections. Transp Res Part C: Emerg Technol 46:121–131
Horowitz R, Varaiya P (2000) Control design of an automated highway system. Proc IEEE 88(7):913–925
Jin Q, Wu G, Boriboonsomsin K, Barth M (2012) Advanced intersection management for connected vehicles using a multi-agent systems approach. In: 2012 IEEE on intelligent vehicles symposium (IV). IEEE, pp 932–937
Kim KD, Kumar PR (2014) An mpc-based approach to provable system-wide safety and liveness of autonomous ground traffic. IEEE Trans Autom Control 59(12):3341–3356
Krajzewicz D, Erdmann J, Behrisch M, Bieker L (2012) Recent development and applications of sumo–simulation of urban mobility. Int J Adv Syst Measur, 5(3&4)
Lee J, Park B (2012) Development and evaluation of a cooperative vehicle intersection control algorithm under the connected vehicles environment. IEEE Trans Intell Transp Syst 13(1):81–90
Li DP, Liu YJ, Tong S, Chen CP, Li DJ (2018) Neural networks-based adaptive control for nonlinear state constrained systems with input delay. IEEE Transactions on Cybernetics
Liu L, Liu YJ, Tong S (2018) Neural networks-based adaptive finite-time fault-tolerant control for a class of strict-feedback switched nonlinear systems. IEEE Transactions on Cybernetics
Liu YJ, Gong M, Tong S, Chen CP, Li DJ (2018) Adaptive fuzzy output feedback control for a class of nonlinear systems with full state constraints. IEEE Transactions on Fuzzy Systems
Liu YJ, Lu S, Tong S, Chen X, Chen CP, Li DJ (2018) Adaptive control-based barrier lyapunov functions for a class of stochastic nonlinear systems with full state constraints. Automatica 87:83–93
Lu Q, Kim KD (2016) Intelligent intersection management of autonomous traffic using discrete-time occupancies trajectory. J Traffic Logist Eng 4(1):1–6
Malikopoulos AA, Cassandras CG (2016) Decentralized optimal control for connected and automated vehicles at an intersection. arXiv:1602.03786
Markoff J (2010) Google cars drive themselves, in traffic. New York Times 10(A1):9
Miculescu D, Karaman S (2016) Polling-systems-based autonomous vehicle coordination in traffic intersections with no traffic signals. arXiv:1607.07896
Neto FDN, de Souza Baptista C, Campelo CE (2018) Combining Markov model and prediction by partial matching compression technique for route and destination prediction. Knowl-Based Syst 154:81–92
Onieva E, Hernández-Jayo U, Osaba E, Perallos A, Zhang X (2015) A multi-objective evolutionary algorithm for the tuning of fuzzy rule bases for uncoordinated intersections in autonomous driving. Inform Sci 321:14–30
Tientrakool P, Ho YC, Maxemchuk NF (2011) Highway capacity benefits from using vehicle-to-vehicle communication and sensors for collision avoidance. In: 2011 IEEE on vehicular technology conference (VTC Fall). IEEE, pp 1–5
Vasirani M, Ossowski S (2012) A market-inspired approach for intersection management in urban road traffic networks. J Artif Intell Res 43:621–659
Wang P, Li W, Li C, Hou Y (2018) Action recognition based on joint trajectory maps with convolutional neural networks. Knowledge-Based Systems
Wu J, Abbas-Turki A, El Moudni A (2012) Cooperative driving: an ant colony system for autonomous intersection management. Appl Intell 37(2):207–222
Wuthishuwong C, Traechtler A, Bruns T (2015) Safe trajectory planning for autonomous intersection management by using vehicle to infrastructure communication. EURASIP J Wirel Commun Netw 2015(1):1–12
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Lu, Q., Kim, KD. Autonomous and connected intersection crossing traffic management using discrete-time occupancies trajectory. Appl Intell 49, 1621–1635 (2019). https://doi.org/10.1007/s10489-018-1357-1
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DOI: https://doi.org/10.1007/s10489-018-1357-1