The Influence Analysis of Traffic Flow on Economy Situation Based on Mathematical Model
Download as PDF
Hanjun Cui, Lishan Li, Dongyue Xu
On the global scale over the past decades, a rapid growth of urbanization rate has been observed. While benefiting residents, urbanization also causes problems that evoke economic and environmental concerns, traffic congestion being one of the most serious. To provide a vision of deducing air pollution caused by congestion, improving commuting efficiency and raising people’s quality of life, this investigation takes Beijing as an example to explore the potential economic benefit of traffic optimization based on telematics. To provide a quantified and intuitive result, the investigation uses a Cellular Automata (CA) model to emulate Beijing’s traffic during peak hours, gives Travel Time Buffer Index (TBI), Travel Congestion Ratio (TCR) and Traffic Performance Index (TPI) as essential indicators to quantify traffic performance. Then, on the premise of neglecting the secondary influencing factors, firstly, the hierarchy matrix is used to assign weight to determine the main index of influence, and then the fuzzy analysis method is used to analyze the determined indicators, so as to establish an economic benefit analysis model to analyze the impact of traffic on the economic situation. The simulation results show that the lower the average congestion loss is, the smaller the average vehicle running time is, and the lowest system loss cost is; on the contrary, the higher the average congestion loss is, the greater the average vehicle running time is, and the highest overall system loss cost is.
Cellular automata, Modeling, Traffic optimization, Hierarchy matrix, Fuzzy analysis method, Urbanization