Sustainable Demand-Responsive Transportation: A Case Study in Rural Guimaraes

被引:0
|
作者
Marti, Pasqual [1 ]
Jordan, Jaume [1 ]
Novais, Paulo [3 ]
Julian, Vicente [1 ,2 ]
机构
[1] Univ Politecn Valencia, Valencian Res Inst Artificial Intelligence VRAIN, Valencia, Spain
[2] Univ Politecn Valencia, Valencian Grad Sch & Res Network Artificial Intel, Valencia, Spain
[3] Univ Minho, Alogoritmi Ctr, Braga, Portugal
关键词
demand-responsive transportation; sustainability; optimisation; Guimabus; TRANSIT;
D O I
10.1007/978-3-031-77738-7_13
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The limitations of fixed traditional public transportation justify the exploration of demand-responsive mobility, particularly in lowdemand rural areas. Departing from the Guimabus transportation system, which operates in Guimaraes, Portugal, this research proposes a demand-responsive service that complements its peripheral areas with the aim of reducing private vehicle dependence, achieving more sustainable overall transportation. A case study is developed assessing the population served by Guimabus and its frequency in different parts of the geography. Then, a demand-responsive system is proposed, servicing rural areas of the outskirts of Guimaraes. Different demand-responsive problem configurations are set up and solved using our own computational scheduling algorithm. Our results narrow down the minimum level of demand necessary for the demand-responsive to perform efficiently. Furthermore, they show the relationship between the balance of fleet resources and demand. Adequate usage of the fleet emerges as a necessary condition to improve, in terms of sustainability, with respect to private transport.
引用
收藏
页码:147 / 158
页数:12
相关论文
共 50 条
  • [21] Simulating Demand-responsive Transportation: A Review of Agent-based Approaches
    Ronald, Nicole
    Thompson, Russell
    Winter, Stephan
    TRANSPORT REVIEWS, 2015, 35 (04) : 404 - 421
  • [22] GROUPING TRIPS BY FUZZY SIMILARITY FOR SCHEDULING OF DEMAND-RESPONSIVE TRANSPORTATION VEHICLES
    KIKUCHI, S
    VUKADINOVIC, N
    TRANSPORTATION PLANNING AND TECHNOLOGY, 1994, 18 (01) : 65 - 80
  • [23] Multi-agent framework for a virtual enterprise of Demand-Responsive transportation
    Cabrera, Daniel
    Cubillos, Claudio
    ADVANCES IN ARTIFICIAL INTELLIGENCE, 2008, 5032 : 66 - 71
  • [24] Serviceability index to evaluate rural demand-responsive transit system operations
    Sandlin, AB
    Anderson, MD
    TRANSIT PLANNING AND DEVELOPMENT, MANAGEMENT AND PERFORMANCE, MARKETING AND FARE POLICY, AND CAPACITY AND QUALITY OF SERVICE, 2004, (1887): : 205 - 212
  • [25] Integrated demand-responsive scheduling of maintenance and transportation operations in military supply chains
    Tsadikovich, Dmitry
    Levner, Eugene
    Tell, Hanan
    Werner, Frank
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2016, 54 (19) : 5798 - 5810
  • [26] Real-world meeting points for shared demand-responsive transportation systems
    Czioska, Paul
    Kutadinata, Ronny
    Trifunovic, Aleksandar
    Winter, Stephan
    Sester, Monika
    Friedrich, Bernhard
    PUBLIC TRANSPORT, 2019, 11 (02) : 341 - 377
  • [27] SCHEDULING DEMAND-RESPONSIVE TRANSPORTATION VEHICLES USING FUZZY-SET THEORY
    KIKUCHI, S
    DONNELLY, RA
    JOURNAL OF TRANSPORTATION ENGINEERING-ASCE, 1992, 118 (03): : 391 - 409
  • [28] Real-world meeting points for shared demand-responsive transportation systems
    Paul Czioska
    Ronny Kutadinata
    Aleksandar Trifunović
    Stephan Winter
    Monika Sester
    Bernhard Friedrich
    Public Transport, 2019, 11 : 341 - 377
  • [29] Cloud-Based Demand-Responsive Transportation System Using Forecasting Model
    Younes Khair
    Abdeslem Dennai
    Youssef Elmir
    Arabian Journal for Science and Engineering, 2024, 49 : 3829 - 3843
  • [30] Simulating ad-hoc demand-responsive transportation: a comparison of three approaches
    Ronald, Nicole
    Thompson, Russell
    Winter, Stephan
    TRANSPORTATION PLANNING AND TECHNOLOGY, 2017, 40 (03) : 340 - 358