Abstract
Traffic congestion index reflects the state of traffic flow. The detection and analysis on traffic congestion index can be used to estimate the operation status of roads, to plan and organize road traffic for traffic managers, and to make the reasonable decisions of travelers to travel. The traffic conditions of several evaluation indexes were analyzed. Based on the theory of fuzzy mathematics, some membership functions of the evaluating indexes were designed. Three calculation methods of traffic congestion index were proposed. Their calculation results were compared mutually. The conclusion revealed that using saturation calculated by the corresponding service level of traffic congestion index not well reflect the traffic situation, what’s more, travel speed is used to calculate the congestion index of the first method. Using comprehensive parameters can calculate the congestion index of the third method. Both them are roughly similar and in line with the actual traffic phenomenon.
Highlights
To ease traffic congestion, identifying the state of road traffic should be considered first
The traffic congestion index using saturation has a big deviation to reflect the field traffic status because two different traffic statuses probably have a same saturation degree, which can be seen from the graph of traffic flow versus velocity
Different traffic statuses on a road section probably have a same saturation degree, which can be seen from the two-phase parabola graph of traffic flow versus velocity
Summary
To ease traffic congestion, identifying the state of road traffic should be considered first. Keywords Urban traffic, traffic congestion index, fuzzy mathematics, saturation degree, average velocity, membership function Three calculation methods of traffic congestion index are compared regarding to Shugang Road, Dalian city in China. Traffic congestion can be divided into road congestion and intersection congestion; in this article, main research is focused on road congestion, and the indicators involved are saturation degree, average speed, travel efficiency, low-speed proportion, total delay, average stopping number, and time length.
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