CIRCLE LINE OPTIMIZATION OF SHUTTLE BUS IN CENTRAL BUSINESS DISTRICT WITHOUT TRANSIT HUB

被引:8
作者
Yao, Baozhen [1 ]
Cao, Qingda [1 ]
Jin, Lu [1 ]
Zhang, Mingheng [1 ]
Zhao, Yibing [1 ]
机构
[1] Dalian Univ Technol, Sch Automot Engn, Dalian 116024, Peoples R China
来源
PROMET-TRAFFIC & TRANSPORTATION | 2017年 / 29卷 / 01期
基金
中国国家自然科学基金;
关键词
Central Business District; shuttle bus; transfer; genetic algorithm; bi-objective model; ASSIGNMENT MODEL; URBAN AREAS; DESIGN; NETWORK; ALGORITHM; SYSTEM; ROUTES;
D O I
10.7307/ptt.v29i1.2015
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
The building density of Central Business District (CBD) is usually high. Land for a bus terminal is insufficient. In this situation, passengers in CBD have to walk far to take a bus, or take a long time to wait for a taxi. To solve this problem, this paper proposes an indirect approach: the design of a circle line of shuttle bus as a dynamic bus terminal in CBD. The shuttle bus can deliver people to the bus station through a circle line. This approach not only reduces the traffic pressure in CBD, but also saves travel time of the passenger. A bi-objective model is proposed to design a circle line of a shuttle bus for CBD. The problem is solved by non-dominated sorting genetic algorithm (NSGA-II). Furthermore, the Dalian city in China has been chosen as the case study to test the proposed method. The results indicate that the method is effective for circle line optimization of shuttle bus in central business district without a bus terminal.
引用
收藏
页码:45 / 55
页数:11
相关论文
共 40 条
[1]   TRANSFER OPTIMIZATION IN A TRANSIT NETWORK [J].
BOOKBINDER, JH ;
DESILETS, A .
TRANSPORTATION SCIENCE, 1992, 26 (02) :106-118
[2]   Exact and meta-heuristic approach for a general heterogeneous dial-a-ride problem with multiple depots [J].
Braekers, Kris ;
Caris, An ;
Janssens, Gerrit K. .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2014, 67 :166-186
[3]  
Ceder A., 1989, TRANSPORT RES REC, P9
[4]   Integrated smart feeder/shuttle transit service: simulation of new routing strategies [J].
Ceder, Avishai .
JOURNAL OF ADVANCED TRANSPORTATION, 2013, 47 (06) :595-618
[5]   A frequency-based assignment model for congested transit networks with strict capacity constraints: characterization and computation of equilibria [J].
Cepeda, M ;
Cominetti, R ;
Florian, M .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2006, 40 (06) :437-459
[6]   Spatiotemporal data model for network time geographic analysis in the era of big data [J].
Chen, Bi Yu ;
Yuan, Hui ;
Li, Qingquan ;
Shaw, Shih-Lung ;
Lam, William H. K. ;
Chen, Xiaoling .
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2016, 30 (06) :1041-1071
[7]   Reliable shortest path finding in stochastic networks with spatial correlated link travel times [J].
Chen, Bi Yu ;
Lam, William H. K. ;
Sumalee, Agachai ;
Li, Zhi-lin .
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2012, 26 (02) :365-386
[8]   Optimization of bus stop locations for improving transit accessibility [J].
Chien, SI ;
Qin, ZQ .
TRANSPORTATION PLANNING AND TECHNOLOGY, 2004, 27 (03) :211-227
[9]  
Deb K., 2000, Parallel Problem Solving from Nature PPSN VI. 6th International Conference. Proceedings (Lecture Notes in Computer Science Vol.1917), P849
[10]   Scheduled paratransit transport systems [J].
Dikas, G. ;
Minis, I. .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2014, 67 :18-34