This paper proposes a novel framework for crowd-sourcing based traffic state estimation that efficiently integrates human-sensed data (e.g., data shared by ...
Abstract—Traffic congestion still challenges large cities, caus- ing not only economic loss but also pollution and other social issues.
This paper proposes a novel framework for crowd-sourcing based traffic state estimation that efficiently integrates human-sensed data.
CARTO Traffico is a traffic management solution for civic engineers and urban planners that integrates crowdsourced GPS data with city specific mobility ...
Traffic count (or link count) data represents the cumulative traffic in the lanes between two consecutive signalised intersections.
A novel framework for crowd-sourcing based traffic state estimation that efficiently integrates human-sensed data, and data from available fixed-sensor ...
The method provides a thorough understanding of urban traffic flow dynamics and has direct applications for delay analysis, queue length estimation, signal ...
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The travel time prediction algorithms on Google servers combine user's speed with the speeds of other phones on the road, across thousands of phones moving ...
Oct 11, 2023 · Prof. Dixit and his team have proven using crowdsourced data reduces traffic congestion. They conducted field experiments at 30 intersections ...
Nov 6, 2024 · This study explores innovative methods to monitor and control traffic congestion, focusing on Al Ain city in the United Arab Emirates. Using the ...