Based on incident characteristics and quality of loop data and floating car data, a new incident detection algorithm is designed based on floating car data. This new algorithm can detect incidents on lane level by comparing the number of lane changes for a situation without an incident with a situation with a possible incident. Floating car data can give information about the number of lane changes if the accurancy is high. The floating car data is used as input for the new algorithm. The results of this new algorithm are comparable or better than the current McMaster algorithm, depending on the available penetration rate of the floating car data
Traffic incident detection is one of the major research areas of intelligent transportation systems ...
This study demonstrates an incident detection algorithm that uses the meteorological and traffic par...
Given the fact that the existing literature lacks the real-time estimation of road capacity and inci...
The aim of this paper is to demonstrate the feasibility of a live Automated Incident Detection (AID)...
The aim of this paper is to demonstrate the feasibility of a live Automated Incident Detection (AID)...
A new automatic incident detection algorithm based on the available data originally collected for jo...
Part 2: AlgorithmsInternational audienceIntelligent Transportation Systems are highly dependent on t...
The rapid detection of information on continuously changing intersection auxiliary through lane is a...
Responding to the need for effective and reliable detection of freeway incidents, an essential eleme...
AbstractVehicle loop detectors or other equipment installed on cross-sections are commonly used for ...
Vehicle loop detectors or other equipment installed on cross-sections are commonly used for monitori...
AbstractMobile communication instruments have made detecting traffic incidents possible by using flo...
Transportation agencies continuously and consistently work to improve the processes and systems for ...
The high cost of congestion caused by incidents such as accidents, disabled vehicles, construction w...
Nowadays, the diffusion of in-car navigators, location-enabled smartphones and various reasons for t...
Traffic incident detection is one of the major research areas of intelligent transportation systems ...
This study demonstrates an incident detection algorithm that uses the meteorological and traffic par...
Given the fact that the existing literature lacks the real-time estimation of road capacity and inci...
The aim of this paper is to demonstrate the feasibility of a live Automated Incident Detection (AID)...
The aim of this paper is to demonstrate the feasibility of a live Automated Incident Detection (AID)...
A new automatic incident detection algorithm based on the available data originally collected for jo...
Part 2: AlgorithmsInternational audienceIntelligent Transportation Systems are highly dependent on t...
The rapid detection of information on continuously changing intersection auxiliary through lane is a...
Responding to the need for effective and reliable detection of freeway incidents, an essential eleme...
AbstractVehicle loop detectors or other equipment installed on cross-sections are commonly used for ...
Vehicle loop detectors or other equipment installed on cross-sections are commonly used for monitori...
AbstractMobile communication instruments have made detecting traffic incidents possible by using flo...
Transportation agencies continuously and consistently work to improve the processes and systems for ...
The high cost of congestion caused by incidents such as accidents, disabled vehicles, construction w...
Nowadays, the diffusion of in-car navigators, location-enabled smartphones and various reasons for t...
Traffic incident detection is one of the major research areas of intelligent transportation systems ...
This study demonstrates an incident detection algorithm that uses the meteorological and traffic par...
Given the fact that the existing literature lacks the real-time estimation of road capacity and inci...