ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
Prev
Next
|
|
|
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.
|
Received: 12 December 2022
Revised: 19 January 2023
Accepted manuscript online: 06 February 2023
|
PACS:
|
45.70.Vn
|
(Granular models of complex systems; traffic flow)
|
|
89.40.Bb
|
(Land transportation)
|
|
05.70.Fh
|
(Phase transitions: general studies)
|
|
64.60.Cn
|
(Order-disorder transformations)
|
|
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 71931002 and 72288101). |
Corresponding Authors:
Rui Jiang
E-mail: jiangrui@bjtu.edu.cn
|
Cite this article:
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. B 27 124502 [5] Tang T Q, Huang H J and Shang H Y 2010 Chin. Phys. B 19 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 A 563 125452 [11] Xie D F, Gao Z Y and Zhao X M 2010 Chin. Phys. B 19 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. Vehicles 2 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 A 573 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. B 22 108902 [34] Hu X J, Lin C X, Hao X T, Lu R Y and Liu T H 2021 Physica A 584 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 A 575 126055 [38] Liu H Q, Jiang R, Tian J F and Zhu K X 2023 Chin. Phys. B 32 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 |
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|