Research on Urban Road-Network Capacity Based on Traffic Big Data
DOI:
https://doi.org/10.6911/WSRJ.202504_11(4).0006Keywords:
Traffic big data; Road network capacity; Capacity-density-speed function; Statistics.Abstract
Accurate and reliable urban road network capacity directly affects the adaptability and effectiveness of urban traffic planning and traffic management. At present, the research on road network capacity is based on theoretical models deduced from formulas, among which the time-space consumption method is the most widely used. However, the determination of various correction parameters by time-space consumption method needs on-site investigation and investigation, which is huge in workload and difficult to realize, so calculated road-network capacity has a large deviation. According to the flow-density-speed relationship and statistical methods, the work obtained the equations of road network capacity and real-time data such as the traffic density and road network speed using traffic big data. Besides, maximum road network capacity was obtained based on the capacity-density-speed function. The calculation method was applied to the actual urban road network to derive the time-varying graph of the capacity, density, and speed.
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