Traffic state estimation on highway: A comprehensive survey
Traffic state estimation (TSE) refers to the process of the inference of traffic state variables
(ie, flow, density, speed and other equivalent variables) on road segments using partially …
(ie, flow, density, speed and other equivalent variables) on road segments using partially …
[HTML][HTML] Traffic state estimation of urban road networks by multi-source data fusion: Review and new insights
Accurate traffic state (ie, flow, speed, density, etc.) on an urban road network is important
information for urban traffic control and management strategies. However, due to the …
information for urban traffic control and management strategies. However, due to the …
[PDF][PDF] Road traffic data: Collection methods and applications
G Leduc - Working Papers on Energy, Transport and Climate …, 2008 - researchgate.net
The development of Intelligent Transportation Systems (ITS) requires high quality traffic
information in real-time. For several years, under growing pressure for improving traffic …
information in real-time. For several years, under growing pressure for improving traffic …
Highway traffic state estimation with mixed connected and conventional vehicles
N Bekiaris-Liberis, C Roncoli… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
We present a macroscopic model-based approach for the estimation of the total density and
flow of vehicles, for the case of “mixed” traffic, ie, traffic comprising both ordinary and …
flow of vehicles, for the case of “mixed” traffic, ie, traffic comprising both ordinary and …
[HTML][HTML] Evaluating the accuracy of vehicle tracking data obtained from Unmanned Aerial Vehicles
This paper presents a methodology for tracking moving vehicles that integrates Unmanned
Aerial Vehicles with video processing techniques. The authors investigated the usefulness …
Aerial Vehicles with video processing techniques. The authors investigated the usefulness …
Computational intelligence and optimization for transportation big data: challenges and opportunities
EI Vlahogianni - … and Applied Sciences Optimization: Dedicated to the …, 2015 - Springer
With the overwhelming amount of transportation data being gathered worldwide, Intelligent
Transportation Systems (ITS) are faced with several modeling challenges. New modeling …
Transportation Systems (ITS) are faced with several modeling challenges. New modeling …
Floating car data adaptive traffic signals: A description of the first real-time experiment with “connected” vehicles
The future of traffic management will be based on “connected” and “autonomous” vehicles.
With connected vehicles it is possible to gather real-time information. The main potential …
With connected vehicles it is possible to gather real-time information. The main potential …
Analyzing passenger and freight vehicle movements from automatic-Number plate recognition camera data
Modern urban-transport planning requires evidence-based insights into current transport
flows to better understand the needs and impacts of policymaking. Urban transport includes …
flows to better understand the needs and impacts of policymaking. Urban transport includes …
The use of adaptive traffic signal systems based on floating car data
This paper presents a simple concept which has not been, up to now, thoroughly explored in
scientific research: the use of information coming from the network of Internet connected …
scientific research: the use of information coming from the network of Internet connected …
[PDF][PDF] Daily OD matrix estimation using cellular probe data
ABSTRACT 1 With the fast-growing wireless-communication market, the cellular positioning
2 technologies are becoming one of the important means to monitoring real-time traffic …
2 technologies are becoming one of the important means to monitoring real-time traffic …