| People | Locations | Statistics |
|---|---|---|
| Ziakopoulos, Apostolos | Athens |
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| Vigliani, Alessandro | Turin |
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| Catani, Jacopo | Rome |
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| Statheros, Thomas | Stevenage |
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| Utriainen, Roni | Tampere |
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| Guglieri, Giorgio | Turin |
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| Martínez Sánchez, Joaquín |
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| Tobolar, Jakub |
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| Volodarets, M. |
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| Piwowar, Piotr |
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| Tennoy, Aud | Oslo |
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| Matos, Ana Rita |
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| Cicevic, Svetlana |
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| Sommer, Carsten | Kassel |
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| Liu, Meiqi |
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| Pirdavani, Ali | Hasselt |
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| Niklaß, Malte |
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| Lima, Pedro | Braga |
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| Turunen, Anu W. |
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| Antunes, Carlos Henggeler |
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| Krasnov, Oleg A. |
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| Lopes, Joao P. |
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| Turan, Osman |
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| Lučanin, Vojkan | Belgrade |
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| Tanaskovic, Jovan |
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Grumert, Ellen F.
Swedish National Road and Transport Research Institute
in Cooperation with on an Cooperation-Score of 37%
Topics
- data
- financing
- road
- manual
- logistics
- bottleneck
- administration
- calibration
- sensitivity
- inspection
- detector
- case study
- queuing
- estimate
- variable
- forecasting
- traveller
- estimating
- decision making
- travel
- road network
- travel time
- male
- freeway
- transport demand
- traffic model
- traffic incident
- incident management
- vehicle
- connected vehicle
- variable speed limit
- system design
- assessment
- computer science
- infrastructure
- transportation engineering
- density
- architecture
- internet
- traffic simulation
- highway traffic control
- advanced traffic management system
- driver
- theory
- algorithm
- mechanical engineering
- indicating instrument
- implementation
- automotive engineering
- design
- traffic safety
- environmental impact
- psychology
- traffic performance
- safety
- train consist
- impurity
- reconstruction
- thesis
- roadside
- variable message sign
- modeling
- contaminant
- highway traffic
- acceleration
- exhaust gas
- telecommunication
- intelligent transportation system
- standardisation
- researcher
- coding system
- traffic planning
- hub
- electromagnetic spectrum
- employee
- railway network
- SUMO
- politics
- astronautics
- flood plain
- milepost
- Research Context Berlin
- crash
- traffic volume
- real time information
- state of the art
- research project
- state of the art report
- show 58 more
Publications (12/12 displayed)
- 2023An Automated Process for Identification of Bottlenecks in the Traffic System Using Large Data Sets
- 2021Effects of incidents on motorways : a proposed methodology for estimating and predicting demand, duration and capacity for incident management ; Incidenters påverkan på motorvägar : ett förslag på metodik för att skatta och prediktera trafikefterfrågan, incidentens varaktighet och kapacitet för incidenthantering
- 2020Bottleneck mitigation through a variable speed limit system using connected vehiclescitations
- 2018Using Connected Vehicles in Variable Speed Limit Systems: System Design and Effects
- 2018Traffic State Estimation Using Connected Vehicles and Stationary Detectorscitations
- 2018Characteristics of variable speed limit systemscitations
- 2018Using Connected Vehicles in Variable Speed Limit Systems: : System Design and Effectscitations
- 2017Using connected vehicles in a variable speed limit systemcitations
- 2014Cooperative Variable Speed Limit Systems : Modeling and Evaluation using Microscopic Traffic Simulation
- 20141st SUMO User Conference 2013
- 2012Impacts of a Cooperative Variable Speed Limit Systemcitations
- 2011Cooperative systems : an overview
Places of action
article
Traffic State Estimation Using Connected Vehicles and Stationary Detectors
Abstract
Real-time traffic state estimation is of importance for efficient traffic management. This is especially the case for traffic management systems that require fast detection of changes in the traffic conditions in order to apply an effective control measure. In this paper, we propose a method for estimating the traffic state and speed and density, by using connected vehicles combined with stationary detectors. The aim is to allow fast and accurate estimation of changes in the traffic conditions. The proposed method does only require information about the speed and the position of connected vehicles and can make use of sparsely located stationary detectors to limit the dependence on the infrastructure equipment. An evaluation of the proposed method is carried out by microscopic traffic simulation. The traffic state estimated using the proposed method is compared to the true simulated traffic state. Further, the density estimates are compared to density estimates from one detector-based method, one combined method, and one connected-vehicle-based method. The results of the study show that the proposed method is a promising alternative for estimating the traffic state in traffic management applications. <p>Funding Agencies|Swedish Transportation Administration (Trafikverket)</p>
Topics
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