Extracting the regularity of individual vehicle mobility has long been a general research topic that has numerous applications for urban management and services. In this paper, we combine vehicle mobility information extracted from vehicle identification data with a large and directed road network, to understand vehicle mobility and how it shapes the road usage profile in an urban city. We propose here a versatile method to extract the division point of vehicle mobility distribution, which is designed to observe the interesting phenomenon whereby, similar to the inequality in wealth distribution in economics, surprisingly few vehicles contribute to the larger proportion of road usage. Based on the relationship between vehicle mobility and urban roads, we reveal road usage profile (e.g. central, transit, branch, local), depending on traffic flow and vehicle mobility inequality features, in contrast to traditional topology indicators and aggregated indicators.We also validate for the first time a methodology which uncovers the road usage characteristics from the microscopic perspective of vehicles. These results allow us to create a quantitative strategy to note the few but decisive vehicles that add to traffic congestion and to put into perspective the transition from traditional aggregated approaches to individual-based practices in transportation research.
Modeling of the Division Point of Different Propagation Mechanisms in the Near-Region Within Arched Tunnels
