Facilitation of Urban Transport through a Pipeline Supply Network

Kulińska, Ewa; Odlanicka-Poczobutt, Monika

doi:10.1016/j.trpro.2016.11.025

Cited by 4 publications

(2 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Figure 2, numbers on vertices and edges represent uncertainty measures for logistics nodes and transportation roads (or tunnels) in the ULS, which can be calculated by using formulas (6) and 7, respectively. e number 1.0 at vertices B, E, and D means that the effects of logistics nodes B, E, and D on the cost index of ULS are the same.…”

Section: Uncertainty Measure Of the Edge Connecting Two Logisticsmentioning

confidence: 99%

“…By using the ULS, timeliness goods such as flowers may be transported in time [5]. But, nowadays the ULS is obviously different from the early transportation system in influence factors of their construction: the city scale and traffic network congestion [6]. e current studies on the ULS mainly focus on three aspects: feasibility analysis, risk assessment, and network planning of logistics system.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic Network Planning of Underground Logistics System on Uncertainty Graph

Zhong

Luo

Bao

et al. 2019

Mathematical Problems in Engineering

View full text Add to dashboard Cite

When designing the underground logistics system, it is necessary to consider the uncertainty of logistics nodes, high cost, and high risk. This paper employed the theories of uncertain graph and dynamic programming to solve the network planning problem of underground logistics system. Firstly, we proposed the concepts of uncertainty measure matrix and vertices structure uncertainty graph by using uncertainty measure and uncertainty graph. Secondly, vertices structure uncertainty graph of the underground logistics system was constructed based on our proposed vertices structure uncertainty graph and the uncertainty of logistics nodes. Thirdly, the dynamic programming model of the underground logistics system was established, and its solution algorithm was also designed by improving simulated annealing. Finally, the correctness and feasibility of the method was validated by using a numerical example of the underground logistics system in Xianlin district, Nanjing City in China.

show abstract

Section: Uncertainty Measure Of the Edge Connecting Two Logisticsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%