01629537

Component

This study introduces the network weight matrix as a replacement for the spatial weight matrix to measure the spatial dependence between links of a network. This matrix stems from the concept of betweenness centrality and vulnerability in network science. The elements of the matrix are a function not simply of proximity, but of network topology, network structure, and demand configuration. The network weight matrix has distinctive characteristics, which are capable of reflecting spatial dependence between traffic links: (1) The elements are allowed to have negative and positive values, which capture competitive and complementary nature of links, (2) the diagonal elements are not fixed to zero, which takes the self-dependence of a link upon itself into consideration, and (3) the elements not only reflect the spatial dependence based on the network structure, but they acknowledge the demand configuration as well. The authors verify the network weight matrix by modeling traffic flows in a 3×3 grid test network with 9 nodes and 24 directed links connecting 72 origin-destination (OD) pairs. The results disclose models encompassing the network weight matrix outperform both models without spatial components and models with the spatial weight matrix. This leads to the conclusion that the network weight matrix represents a more accurate and defensible spatial dependency between traffic links, and thereby augments traffic flow prediction.

This paper was sponsored by TRB committee ABJ80 Standing Committee on Statistical Methods.

01618707

17-05824

English

18p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References; Tables

Network links; Origin and destination; Spatial analysis; Traffic flow; Traffic forecasting; Travel demand

Planning and Forecasting; Transportation (General)

Transportation Research Board Annual Meeting 2017 Paper #17-05824

TRIS, TRB, ATRI

Dec 8 2016 12:20PM