[1] |
LITTLE J D C. The synchronization of traffic signals by mixed-integer linear programming[J]. Operations Research, 1966,14(4): 568-594.
|
[2] |
GARTNER N H, STAMATIADIS C. Arterial-based control of traffic flow in urban grid networks[J]. Mathematical and Computer Modelling, 2002,35(5-6):657-671.
|
[3] |
ZHANG C, XIE Y C, GARTNER N H, et al. AM-band: An asymmetrical multi-band model for arterial traffic signal coordination[J]. Transportation Research Part C: Emerging Technologies, 2015,58: 515-531.
|
[4] |
YANG X F, CHENG Y, CHANG G L. A multi-path progression model for synchronization of arterial traffic signals[J]. Transportation Research Part C: Emerging Technologies, 2015,53:93-111.
|
[5] |
ABU-LEBDEH G, BENEKOHAL R F. Dynamic signal coordination along oversaturated arterials[C]// Proceedings of the 1997 Conference on Traffic Congestion and Traffic Safety in the 21st Century. 1997:521-527.
|
[6] |
于泉,荣建. 基于模糊逻辑的过饱和交叉口定周期配时方案优化[J]. 北京工业大学学报, 2007,33(11): 1173-1176.
|
[7] |
傅惠,徐建闽,卢凯. 基于粒子群优化的关联交叉口群信号控制策略研究[J]. 交通与计算机, 2007,25(3):23-26.
|
[8] |
钱伟,孙玉娟. 城市干线交通信号的模糊协调控制研究[J]. 河南理工大学学报(自然科学版), 2014,33(5):621-625.
|
[9] |
卫伟. 基于多目标优化的干道协调控制[D]. 南昌:华东交通大学, 2015.
|
[10] |
荆彬彬,徐建闽,鄢小文. 适于双周期的干道绿波信号协调控制模型[J]. 交通运输系统工程与信息, 2018,18(1):73-80.
|
[11] |
徐铖铖,陈峻. 基于人均延误最小的干线交叉口协调配时优化[J]. 交通信息与安全, 2009,27(5): 33-37.
|
[12] |
QI H S, HU X B. Monte Carlo tree search-based intersection signal optimization model with channelized section spillover[J]. Transportation Research Part C: Emerging Technologies, 2019, 106:281-302.
|
[13] |
SHIRVANI M J, MALEKI H R. Enhanced variable bandwidth progression optimisation model in arterial traffic signal control[J]. IET Intelligent Transport Systems, 2016, 10(6): 396-405.
|
[14] |
姜桂艳,张玮,常安德. 基于GPS浮动车的交通信息采集系统的数据组织方法[J]. 吉林大学学报(工学版), 2010,40 (2):397-401.
|
[15] |
MORRIS B T, TRIVEDI M M. Learning, modeling, and classification of vehicle track patterns from live video[J]. IEEE Transactions on Intelligent Transportation Systems, 2008,9(3): 425-437.
|
[16] |
DIXON M P, RILETT L R. Population origin-destination estimation using automatic vehicle identification and volume data[J]. Journal of Transportation Engineering, 2005,131(2):75-82.
|
[17] |
ADAM Z, ABBAS M, LI Y. Critical routes identification method using wavelet filtering[C]// 13th International IEEE Conference on Intelligent Transportation Systems. 2010:337-341.
|
[18] |
MISHALANI R G, COIFMAN B, GOPALAKRISHNA D. Evaluating real-time origin-destination flow estimation using remote sensing-based surveillance data[C]// 7th International Conference on Applications of Advanced Technologies in Transportation. 2002:640-647.
|
[19] |
DIXON M P, RILETT L R. Real-time OD estimation using automatic vehicle identification and traffic count data[J]. Computer-Aided Civil and Infrastructure Engineering, 2002,17(1): 7-21.
|
[20] |
HU S R, WANG C M. Vehicle detector deployment strategies for the estimation of network origin-destination demands using partial link traffic counts[J]. IEEE Transactions on Intelligent Transportation Systems, 2008,9(2): 288-300.
|
[21] |
PARK E S, RILETT L R, SPIEGELMAN C H. A Markov chain Monte Carlo-based origin destination matrix estimator that is robust to imperfect intelligent transportation systems data[J]. Journal of Intelligent Transportation Systems, 2008,12(3): 139-155.
|
[22] |
程琳,于春青,王炜,等. 基于网络均衡的交叉口分流率计算方法[J]. 西南交通大学学报, 2008,43(2):165-172.
|
[23] |
卞建勇,徐建闽,胡跃明. 基于视觉和后推方法的智能车轨迹跟踪控制[J]. 华南理工大学学报(自然科学版), 2008,36(6): 90-94.
|
[24] |
李岩. 过饱和状态交叉口群关键路径识别及交通信号控制研究[D]. 南京:东南大学, 2011.
|
[25] |
李岩,过秀成,杨洁,等. 基于小波变换和频谱分析的交叉口群路径分级方法[J]. 东南大学学报(自然科学版), 2012,42(1): 168-172.
|
[26] |
卢慕洁. 面向通行效率提升的交叉口群信号配时优化方法研究[D]. 南京:东南大学, 2019.
|
[27] |
MA D F, FU F J, JIN S, et al. Recognition of critical links for gating using queue detector data[J]. KSCE Journal of Civil Engineering, 2016,20(7):2955-2964.
|