Abstract
One-way roads have potential for improving vehicle speed and reducing traffic delay. Suffering from dense road network, most of adjacent intersections' distance on one-way roads becomes relatively close, which makes isolated control of intersections inefficient in this scene. Thus, it is significant to develop coordinated control of multiple intersection signals on the one-way roads. This paper proposes a signal coordination control method that is suitable for one-way arterial roads. This method uses the cooperation technology of the vehicle infrastructure to collect intersection traffic information and share information among the intersections. Adaptive signal control system is adopted for each intersection in the coordination system, and the green light time is adjusted in real time based on the number of vehicles in queue. The offset and clearance time can be calculated according to the real-time traffic volume. The proposed method was verified with simulation results by VISSiM traffic simulation software. The results compared with other methods show that the coordinated control method proposed in this paper can effectively reduce the average delay of vehicles on the arterial roads and improve the traffic efficiency.
摘要
单向交通在提高车速和减少交通延误方面具有很大的潜力。由于城市道路网密集, 相邻叉口之间的距离相对较近, 使得单点交叉口信号控制效果较差。因此, 在单向道路实现多交叉口的信号协调控制具有重要意义。本文提出了一种适用于单向道路的信号协调控制方法。该方法利用车路协同技术, 收集交叉口交通信息并将该信息发送到相邻交叉口;协调系统中每个交叉口采用自适应信号控制, 根据实时排队车辆数调整交叉口绿灯时间;同时, 利用实时交通量计算相邻路口时差和清空时间。利用VISSIM 交通仿真软件的仿真结果验证了该方法的有效性。与其他协调控制方法的比较结果显示, 本文提出的方法能够有效降低车辆在主干道的行驶延误, 提高交通效率。
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References
PAPAGEORGIOU M, DIAKAKI C, DINOPOULOU V. Review of road traffic control strategies [J]. Proceedings of the IEEE, 2003, 91(12): 2043–2067. DOI: https://doi.org/10.1109/JPROC.2003.819610.
WU Yu-ru. The influence and comprehensive evaluation of one-way traffic on urban traffic [D]. Chengdu, China: Southwest Jiaotong University, 2012: 1–4. https://doi.org/cdmd.cnki.com.cn/Article/CDMD-10613-1012391017.htm. (in Chinese)
LI Jia-tong. Research on one-way traffic organization optimization of microcirculation road network in old city [D]. Beijing, China: Beijing Jiaotong University, 2017: 1–4. http://cdmd.cnki.com.cn/Article/CDMD-10004-1017086663. htm. (in Chinese)
LI Yong-liang, LI Tao. Analysis of one-way traffic design ideas and advantages and disadvantages of municipal roads [J]. Planning and Design, 2016, 25: 79–80. http://www.cnki.com.cn/Article/CJFDTotal-JCYS201625050.htm (in Chinese)
CHEN Lei. Cooperative intersection management: A survey [2]. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(2): 570–586. DOI: https://doi.org/10.1109/TITS.2015.2471812.
CHEN Jun, XU Liang-jie. Traffic management and control [M]. Beijing: China Communications Press, 2012: 277–287. (in Chinese)
CHEN Chao, LV Zhi-yong, FU Shan-shan. A survey of development status of the domestic and foreign vehicle infrastructure cooperative system [J]. Traffic Information and Safety, 2011, 29(1): 102–109. DOI: https://doi.org/10.3963/j.ISSN1674-4861.2011.01.025. (in Chinese)
GAO Kai, HAN Fa-rong, DONG Ping-ping. Connected vehicle as a mobile sensor for real time queue length at signalized intersections [J]. Sensors, 2019, 19(9): 2059. DOI: https://doi.org/10.3390/sl9092059.
OLIA A, ABDELGAWAD H, ABDULHAI B. Assessing the potential impacts of connected vehicles: Mobility, environment, and safety perspectives [J]. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 2016, 20(3): 229–243. DOI: https://doi.org/ 10.1080/15472450.2015.1062728.
PEREIRA A. Traffic signal control for connected and non-connected vehicles [R]. Prague, Czech Republic: 2018 Smart City Symposium Prague (SCSP), 2018: 1–6. DOI: https://doi.org/10.1109/SCSR2018.8402656.
GULER S, MENENDEZ M, MEIER L. Using connected vehicle technology to improve the efficiency of intersections [J]. Transportation Research Part C, 2014, 46: 121–131. DOI: https://doi.org/10.1016/j.trc.2014.05.008
MASLEKAR N, MOUZNA J, BOUSSEDJRA M. CATS: An adaptive traffic signal system based on car-to-car communication [J]. Journal of Network and Computer Applications, 2013, 36: 1308–1315. DOI: https://doi.org/10.1016/j.jnca.2012.05.011.
XU Jian-ming, LI Gui-lin, ZHAI Chun-jie. Adaptive signal control of single intersection based on short-term traffic flow prediction [J]. Journal of Chongqing Jiaotong University, 2017, 1(1): 1–5. DOI: https://doi.org/10.3969/j.issn.l674-0696.2018.09. (in Chinese)
LI Mao-sheng, XUE Hong-li, SHI Feng. Optimization of traffic signal parameters based on distribution of link travel time [J]. Journal of Central South University, 2017, 24(2): 432–441. DOI: https://doi.org/10.1007/sll771-017-3445-5.
LIU Wei-rong, QIN Gao-rong, HE Yun. Distributed cooperative reinforcement learning-based traffic signal control that integrates V2X networks' dynamic clustering [J]. IEEE Transactions on Vehicular Technology, 2017, 66(10): 8667–8681. DOI: https://doi.org/10.1109/TVT.2017.2702388.
HU Lin, ZHONG Yuan-xing, HAO Wei. Optimal route algorithm considering traffic light and energy consumption [J]. IEEE Access, 2018, 6: 59695–59704. DOI: https://doi.org/10.1109/ACCESS.2018.2871843.
HU Lin, YANG Jia, HUANG Jing. The real-time shortest path algorithm with a consideration of traffic-light [J]. Journal of Intelligent & Fuzzy Systems, 2016, 31(4): 2403–2410. DOI: https://doi.org/10.3233/JIFS-169081.
NATHAN H, SUSAN F, FERNANDO L. A multi-band approach to arterial traffic signal optimization [J]. Transportation Research Part B, 1991, 25(1): 55–74. DOI: https://doi.org/10.1016/0191-2615(91)90013-9
LU Kai, ZENG Xiao-si, LI Lin. Two-way bandwidth maximization model with proration impact factor for unbalanced bandwidth demands [J]. Journal of Transportation Engineering, 2011, 138(5): 527–534. DOI: https://doi.org/10.1061/(ASCE)TE.1943-5436.0000352.
YE Bao-lin, WU Wei-ming, MAO Wei-jie. A two-way arterial signal coordination method with queuing process considered [J]. IEEE Transactions on Intelligent Transportation Systems, 2015, 16(6): 3440–3452. DOI: https://doi.org/10.1109/TITS.2015.2461493.
ZHOU Jun. Traffic signal coordination control of city arterial road that based on graphic method [J]// Harbin, China: Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology. 2011: 3562–3566. DOI: https://doi.org/10.1109/EMEIT.2011.6023835.
SHOU Yan-fang, ZHANG Dong-bo, XU Jian-ming. Signal control decision model for adjacent intersection based on coordination rate [J]// Guilin, China: 2016 12th World Congress on Intelligent Control and Automation. 2016: 2481–2486. DOI: https://doi.org/10.1109/WCICA.2016.7578376.
SUN Zhi-yuan, LU Hua-pu, QU Wen-cong. Tri-level programming model for combined urban traffic signal control and traffic flow guidance [J]. Journal of Central South University, 2016, 23(9): 2443–2452. DOI: https://doi.org/10.1007/sll771-016-3303-x.
YE Bao-lin, WU Wei-ming, ZHOU Xuan-hao. A green wave band based method for urban arterial signal control [J]// Miami, FL, USA: Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control. 2014: 126–131. DOI: https://doi.org/10.1109/ICNSC.2014.6819612.
TANG Tie-qiao, ZHANG Jian, LIU Kai. A speed guidance model accounting for the driver's bounded rationality at a signalized intersection [J]. Physica A: Statistical Mechanics and its Applications, 2017, 473: 45–52. DOI: https://doi.org/ https://doi.org/10.1016/j.physa.2017.01.025.
DONG Shu-yang, ZHANG Jian, WANG Han. A speed guidance-based signal control method for divisible platoon in CVIS [2]// Tianjin, China: 2018 IEEE 8th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). 2018: 1403–1408. DOI: https://doi.org/10.1109/CYBER.2018.8688243.
TANG Tie-qiao, YI Zhi-yan, ZHANG Jian. A speed guidance strategy for multiple signalized intersections based on car-following model [J]. Physica A: Statistical Mechanics and its Applications, 2018, 496: 399–409. DOI: https://doi. org/https://doi.org/10.1016/j.physa.2018.01.005.
LIU Bing, ABDELKADER K. V2X-based decentralized cooperative adaptive cruise control in the vicinity of intersections [2]. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(3): 644–658. DOI: https://doi.org/10.1109/TITS.2015.2486140.
ZHOU Hong-min, HAWKINS H, ZHANG Yun-long. Arterial signal coordination with uneven double cycling [J]. Transportation Research Part A, 2017, 103: 409–429. DOI: https://doi.Org/https://doi.org/10.1016/j.tra.2017.07.004.
SHI Meng-kai, ZHANG Yi, YAO Dan-ya. Application-oriented performance comparison of 802.lip and LTE-V in a V2V communication system [J]. Tsinghua Science and Technology, 2019, 24(2): 123–133. DOI: https://doi.org/10.26599/TST.2018.9010075.
LU Shou-feng. Research on traffic control model based on reinforcement learning theory [M]. Changsha: Central South University Press, 2015: 26–44. (in Chinese)
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Foundation item: Project(61503048) supported by the National Natural Science Foundation of China; Projects(16C0050, 16C0062) supported by Scientific Research Project of Hunan Provincial Department of Education, China
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Gao, K., Han, Fr., Wen, Mf. et al. Coordinated control method of intersection traffic light in one-way road based on V2X. J. Cent. South Univ. 26, 2516–2527 (2019). https://doi.org/10.1007/s11771-019-4191-7
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DOI: https://doi.org/10.1007/s11771-019-4191-7