[1] LI J Y, NOTTEBOOM T E, JACOBS W. China in transition: institutional change at work in inland waterway transport on the Yangtze River[J]. Journal of Transport Geography, 2014, 40: 17-28.
[2] ZHANG D, YAN X P, YANG Z L, et al. An accident data–based approach for congestion risk assessment of inland waterways: A Yangtze River case [J]. Proceedings of the Institution of Mechanical Engineers Part O: Journal of Risk and Reliability, 2014, 228(2): 176-188.
[3] PERAKIS A N, JARAMILLO D I. Fleet deployment optimization for liner shipping Part 1. Background, problem formulation and solution approaches [J].Maritime Policy and Management, 1991, 18(3): 183-200.
[4] BROUER B D, ALVAREZ J F, PLUM C E M, et al. A base integer programming model and benchmark suite for liner-shipping network design [J]. Transportation Science, 2014, 48(2): 281-312.
[5] WANG S, MENG Q. Sailing speed optimization for container ships in a liner shipping network[J]. Transportation Research Part E: Logistics and Transportation Review, 2012, 48: 701-714.
[6] 王宏达.内河航道通过量估算[J]. 水运工程,1998(9):6-8.
WANG Hongda. Estimation of throughput of inland waterway[J]. Port & Waterway Engineering, 1998(9):4-6.
[7] 董宇,姜晔,何良德.内河航道通过能力计算方法研究[J]. 水运工程, 2007(1):59-65.
DONG Yu, JIANG Ye, HE Liangde. Calculationmethod of inland waterways throughput capacity[J]. Port & Waterway Engineering, 2007(1):59-65.
[8] 朱俊, 张玮. 基于跟驰理论的内河航道通过能力计算模型[J]. 交通运输工程学报, 2009,9(5):83-87.
ZHU Jun, ZHANG Wei. Calculation model of inland waterway transit capacity based on ship-following theory [J].Journal of Traffic and Transportation Engineering, 2009,9(5):83-87.
[9] GAN S J, LIANG S, LI K, et al. Ship trajectory prediction for intelligent traffic management using clustering and ANN[C]∥2016 UKACC 11th International Conference on Control (Control). [s.l]:IEEE, 2016: 1-6.
[10] LIANG S, YANG X Y, BI F Q, et al. Vessel traffic scheduling method for the controlled waterways in the upper Yangtze River[J].Ocean Engineering, 2019, 172: 96-104.
[11] LALLA-RUIZ E, SHI X N, VO S. The waterway ship scheduling problem[J]. Transportation Research Part D: Transport and Environment, 2018, 60: 191-209.
[12] DU Y Q, CHEN Q S, LAM J S L, et al. Modeling the impacts of tides and the virtual arrival policy in berth allocation[J]. Transportation Science, 2015, 49 (4): 939-956.
[13] 郑红星, 尹昊, 曹红雷, 等. 考虑潮汐影响的离散型泊位和岸桥集成调度[J]. 运筹与管理, 2017,26(6):167-175.
ZHENG Hongxing, YIN Hao, CAO Honglei, et al. Integrateddiscrete berth allocation and quay crane scheduling under tidal influence at container terminal[J]. Operations Research and Management Science, 2017, 26(6): 167-175.
[14] KORSVIK J E, FAGERHOLT K. A tabu search heuristic for ship routing and scheduling with flexible cargo quantities[J]. Journal of Heuristics, 2010, 16: 117 -137.
[15] KORSVIK J E, FAGERHOLT K, LAPORTE G. A large neighborhood search heuristic for ship routing and scheduling with split loads[J]. Computers & Operations Research, 2011, 38: 474-483.
[16] HEMMATI A, STLHANE M, HVATTUM L M, et al. An effective heuristic for solving a combined cargo and inventory routing problem in tramp shipping[J]. Computers & Operations Research, 2015, 64: 274-282.
[17] YANG D, WANG S A. Analysis of the development potential of bulk shipping network on the Yangtze River[J]. Maritime Policy & Management, 2017, 44(4): 512- 523.
[18] LI F, YANG D, WANG S A, et al. Ship routing and scheduling problem for steel plants cluster alongside the Yangtze River[J]. Transportation Research Part E: Logistics and Transportation Review, 2019, 122: 198-210.
[19] 计明军, 张开放, 祝慧灵, 等. 基于可变航速的支线集装箱船舶调度优化模型与算法[J].运筹与管理, 2019,28(11):18-26.
JI Mingjun. ZHANG Kaifang, ZHU Huiling, et al.Optimization model and algorithm of feeder line containership scheduling based on variable speed [J]. Operations Research and Management Science, 2019, 28(11): 18-26. |