AbstractShort-term congestion caused due to traffic incidents or other road environment factors significantly reduces traffic flow capacity of a link which forms a major part of travel time delays. Accurate and reliable estimate of real-time traffic state is essential for optimizing network performance during unpredictable events. Inaccurate estimate of current traffic state produces unreliable travel-time estimations which lead to ineffective traffic management strategies during traffic incident.This study highlights the accuracy and reliability of traffic state estimate when a traffic flow prediction model is not provided with information about duration and impact of the incident on traffic flow capacity of the link. Cell Transmission Mod...
Reliable and accurate short-term traffic state prediction can improve the performance of real-time t...
This paper contributes to an understudied category of traffic state estimation approaches, i.e. usin...
Freeway networks are generally equipped with different types of sensors which are able to measure tr...
Short-term congestion caused due to traffic incidents or other road environment factors significantl...
AbstractShort-term congestion caused due to traffic incidents or other road environment factors sign...
AbstractThe necessity for high-density sensor installations and redundancy of sensor information in ...
Accurate depiction of existing traffic states is essential to devise effective real-time traffic man...
The accurate depiction of the existing traffic state on a road network is essential in reducing cong...
Accurate depiction of existing traffic states is essential to devise effective real-time traffic man...
AbstractThe necessity for high-density sensor installations and redundancy of sensor information in ...
Accurate state estimation and prediction models strongly rely on the quality and the dissemination o...
Traffic congestion is increasing in almost all large cities, leading to a number of negative effects...
Traffic congestion is increasing in almost all large cities, leading to a number of negative effects...
Traffic congestion is increasing in almost all large cities, leading to a number of negative effects...
AbstractReliable and accurate short-term traffic state prediction can improve the performance of rea...
Reliable and accurate short-term traffic state prediction can improve the performance of real-time t...
This paper contributes to an understudied category of traffic state estimation approaches, i.e. usin...
Freeway networks are generally equipped with different types of sensors which are able to measure tr...
Short-term congestion caused due to traffic incidents or other road environment factors significantl...
AbstractShort-term congestion caused due to traffic incidents or other road environment factors sign...
AbstractThe necessity for high-density sensor installations and redundancy of sensor information in ...
Accurate depiction of existing traffic states is essential to devise effective real-time traffic man...
The accurate depiction of the existing traffic state on a road network is essential in reducing cong...
Accurate depiction of existing traffic states is essential to devise effective real-time traffic man...
AbstractThe necessity for high-density sensor installations and redundancy of sensor information in ...
Accurate state estimation and prediction models strongly rely on the quality and the dissemination o...
Traffic congestion is increasing in almost all large cities, leading to a number of negative effects...
Traffic congestion is increasing in almost all large cities, leading to a number of negative effects...
Traffic congestion is increasing in almost all large cities, leading to a number of negative effects...
AbstractReliable and accurate short-term traffic state prediction can improve the performance of rea...
Reliable and accurate short-term traffic state prediction can improve the performance of real-time t...
This paper contributes to an understudied category of traffic state estimation approaches, i.e. usin...
Freeway networks are generally equipped with different types of sensors which are able to measure tr...