1 research outputs found
Estimating Traffic Conditions At Metropolitan Scale Using Traffic Flow Theory
The rapid urbanization and increasing traffic have serious social, economic,
and environmental impact on metropolitan areas worldwide. It is of a great
importance to understand the complex interplay of road networks and traffic
conditions. The authors propose a novel framework to estimate traffic
conditions at the metropolitan scale using GPS traces. Their approach begins
with an initial estimation of network travel times by solving a convex
optimization program based on traffic flow theory. Then, they iteratively
refine the estimated network travel times and vehicle traversed paths. Last,
the authors perform a bilevel optimization process to estimate traffic
conditions on road segments that are not covered by GPS data. The evaluation
and comparison of the authors' approach over two state-of-the-art methods show
up to 96.57% relative improvements. The authors have further conducted field
tests by coupling road networks of San Francisco and Beijing with real-world
GIS data, which involve 128,701 nodes, 148,899 road segments, and over 26
million GPS traces.Comment: Accepted in Transportation Research Board 97th Annual Meeting, 201