Research on Low Cost Algorithm of Urban Walking Traffic Network Accessibility

Abstract

: Walking traffic is an important part of urban traffic environment. In modern cities, a large number of community street grids have weakened connectivity and walking. This paper presents a low cost algorithm based on semantic network model. This algorithm can quickly analyze whether a decision is ideal or not by using the matrix operation corresponding to the network. Through the semantic network and its corresponding correlation matrix, it can effectively reduce the computational cost, support the early planning of urban pedestrian traffic planning, and put forward a preliminary framework for the subsequent detailed planning.