Efficient control of connected and automated vehicles on a two-lane highway with a moving bottleneck
Huaqing Liu(刘华清) and Rui Jiang(姜锐)†
Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing 100044, China
Abstract This paper investigates the traffic flow of connected and automated vehicles (CAVs) inducing by a moving bottleneck on a two-lane highway. A heuristic rules-based algorithm (HRA) has been used to control the traffic flow upstream of the moving bottleneck. In the HRA, some CAVs in the control zone are mapped onto the neighboring lane as virtual ones. To improve the driving comfort, the command acceleration caused by virtual vehicle is restricted. Comparing with the benchmark in which the CAVs change lane as soon as the lane changing condition is met, the HRA significantly improves the traffic flow: the overtaking throughput as well as the outflow rate increases, the travel delay and the fuel consumption decrease, the comfort level could also be improved.
Huaqing Liu(刘华清) and Rui Jiang(姜锐) Efficient control of connected and automated vehicles on a two-lane highway with a moving bottleneck 2023 Chin. Phys. B 32 054501
[1] Shladover S E, Su D and Lu X Y 2012 Transp. Res. Rec.2324 63 [2] Milanes V, Shladover S E, Spring J, Nowakowski C, Kawazoe H and Nakamura M 2014 IEEE Trans. Intel. Transp. Syst.15 296 [3] Ding J S Y, Li L, Peng H and Zhang Y 2020 IEEE Trans. Intel. Trans. Sys.21 3436 [4] Zeng J W, Qian Y S, Wei X T and Feng X 2018 Chin. Phys. B27 124502 [5] Tang T Q, Huang H J and Shang H Y 2010 Chin. Phys. B19 050517 [6] Wan Q, Peng G Q, Li Z B and Inomata F H T 2020 Transp. Res. Part C: Emer. Technol.117 102682 [7] Liu H, Kan X, Shladover S E, Lu X Y and Ferlis R E 2018 J. Intel. Transp. Sys.22 263 [8] Hua X D, Wang W and Wang H 2016 Acta Phys. Sin.65 084503 (in Chinese) [9] Marinescu D, Curn J, Bouroche M and Cahill V 2012 Proceedings of 2012 15th International IEEE Conference on Intelligent Transportation Systems, September 16-19, 2012, Anchorage, AK, USA, 13115311 [10] Xin Q, Fu R, Ukkusuri S V, Yu S W and Jiang R 2021 Physica A563 125452 [11] Xie D F, Gao Z Y and Zhao X M 2010 Chin. Phys. B19 080515 [12] Uno A, Sakaguchi T and Tsugawa S 1999 Proceedings of 1999 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems, October 5-8, 1999, Tokyo, Japan, pp. 783-787 [13] Lu X Y and Hedrick J K 2003 Inter. J. Cont.76 193 [14] Lu X Y, Tan H S, Shladover S E and Hedrick J K 2004 Veh. Sys. Dyn.41 85 [15] Xu H L, Zhang Y, Cassandras C G, Li L and Feng S 2020 Trans. Res. Part C: Emer. Technol.120 102773 [16] Rios-Torres J and Malikopoulos A A 2017 IEEE Trans. Intel. Transp. Sys.18 780 [17] Ntousakis I A, Nikolos I K and Papageorgiou M 2016 Transp. Res. Part C: Emer. Technol.71 464 [18] Letter C and Elefteriadou L 2017 Transp. Res. Part C: Emer. Technol.80 190 [19] Dong C Y, Chen Y J, Wang H, Ni D H, Shi X M and Lyu K Y 2022 IEEE Trans. Veh. Tech. 1-15 [20] Zhang T Y, Zhang J X, Lu M Y, Lin W H and Cong Z 2018 Proceedings of 2018 3rd International Conference on Smart City and Systems Engineering, December 29-30, 2018, Xiamen, China, 18638001 [21] Zheng Y and Hansen J H L 2017 IEEE Trans. Intel. Vehicles2 14 [22] You C X, Lu J B, Filev D and Tsiotras P 2019 Robot. Auto. Sys.114 1 [23] Guo J Q, Cheng S L and Liu Y Z X 2020 IEEE Trans. Intel. Transp. Sys.22 1639 [24] Dong C Y, Wang H, Li Y, Wang W and Zhang Z 2019 IEEE Trans. Intel. Trans. Syst. 1-13 [25] Wang B J, Li W, Wen H S and Hu X J 2021 Physica A573 125852 [26] Zheng Y, Ran B, Qu X and Zhang J 2019 IEEE Trans. Intel. Trans. Syst. 1-10 [27] Ehsan A, Aschkan O, Lily E 2021 Transp. Res. Part C: Emer. Technol.126 103072 [28] Nagalur Subraveti H H S, Srivastava A, Ahn S, Knoop V L and van Arem B 2021 Transp. Res. Part C: Emer. Technol.127 103126 [29] Yang C, Chen X D, L X and Li Meng 2022 Transp. Res. Part C: Emer. Technol.144 103864 [30] Zhu L, Lu L J, Wang X N, Jiang C M and Ye N F 2022 IEEE Trans. Intel. Trans. Syst.23 8 [31] Gazis D C and Herman R 1992 Transp. Sci.26 223 [32] Newell G F 1998 Transp. Res. Part B: Method.32 531 [33] Fang Y, Chen J Z and Peng Z Y 2013 Chin. Phys. B22 108902 [34] Hu X J, Lin C X, Hao X T, Lu R Y and Liu T H 2021 Physica A584 126335 [35] Simoni M D and Claudel C G 2017 Transp. Res. Part B: Method.104 238 [36] Piacentini G, Ferrara A, Papamichail I and Papageorgiou M 2019 Proceedings of 2019 IEEE 58th Conference on Decision and Control, December 11-13, 2019, Nice, France, 19450254 [37] Liu H Q and Jiang R 2021 Physica A575 126055 [38] Liu H Q, Jiang R, Tian J F and Zhu K X 2023 Chin. Phys. B32 014501 [39] Arem B V, Driel C J G V and Visser R 2006 IEEE Trans. Intel. Transp. Syst.7 4 [40] Omae M, Fukuda R, Ogitsu T and Chiang W P 2014 Inter. J. Intel. Trans. Syst. Res.12 3 [41] Tian B, Wang G Q, Xu Z G, Zhang Y Q and Zhao X M 2021 Vehi. Commun.29 100333 [42] Zhang Y Q, Tian B, Xu Z G, Gong S Y, Gao Y, Cui Z C and Chen X G 2022 Trans. Res. Part C: Emer. Technol.142 103766 [43] Wang Y P, Wei L and Chen P 2020 Trans. Res. Part C: Emer. Technol. 111 135 [44] Jia D Y and D Ngoduy 2016 Trans. Res. Part C: Emer. Technol.68 245 [45] Wang M 2018 Trans. Res. Part C: Emer. Technol.91 276 [46] Hu X W and Sun J 2019 Trans. Res. Part C: Emer. Technol.101 111 [47] Luo Y G, Yong Y X, Cao K and Li K Q 2016 Trans. Res. Part C: Emer. Technol.62 87 [48] Li X P, Cui J X, An S and Parsafard M 2014 Transp. Res. Part B: Method.70 319 [49] Ma J Q, Li X P, Zhou F, Hu J and BB Park 2017 Transp. Res. Part B: Method.95 421 [50] Guo Y, Ma J Q, Xiong C F, Li X P, Zhou F and Hao W 2019 Trans. Res. Part C: Emer. Technol.98 54 [51] Ntousakis I A, Nikolos I K and Papageorgiou M 2016 Transp. Res. Part C: Emer. Technol.71 464
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