Add to ORKGDynamic origin-destination (OD) demand is important input to many simulation models applied within dynamic traffic management systems (DTMS) for predicting traffic states on the network. The inability to provide high-quality dynamic OD demand estimates makes prediction with simulation models simply impossible, irrespective of how well these models have been calibrated. This thesis presents methods regarding the provision of efficient and reliable dynamic OD demand information for DTMS applications
This dissertation aims to improve the performance of existing assignment-based dynamic origin-destin...
Dynamic Traffic Assignment (DTA) has become a main component of modern traffic control centres. To ...
The Dynamic OD Matrix Estimation (DODME) is a hard problem since no direct full observations are ava...
Dynamic origin-destination (OD) demand is important input to many simulation models applied within d...
ju kic D yn am ic O D D em an d E stim atio n an d P red ictio n fo r D yn am ic Traffi c M an ag em...
Time-dependent Origin-Destination (OD) demand information is a fundamental input for Dynamic Traffic...
: This paper presents a pre-trip demand simulator with predictive capabilities and an explicit simul...
In this paper, the use of advanced traffic data is discussed to contribute to the ongoing debate abo...
In this paper, the use of advanced traffic data is discussed to contribute to the ongoing debate abo...
For a static/dynamic O-D matrix estimation, usually, the basic required information is a starting es...
A spectrum of traffic engineering and modern transportation planning problems requires the knowledge...
The aim of this paper is to explore a new approach to obtain better traffic demand (Origin-Destinati...
Origin-Destination (OD) trip matrices describe the patterns of traffic behavior across the network a...
AbstractFor a static/dynamic O-D matrix estimation, usually, the basic required information is a sta...
Availability of accurate trip demand estimates plays a key role for both long term and short term tr...
This dissertation aims to improve the performance of existing assignment-based dynamic origin-destin...
Dynamic Traffic Assignment (DTA) has become a main component of modern traffic control centres. To ...
The Dynamic OD Matrix Estimation (DODME) is a hard problem since no direct full observations are ava...
Dynamic origin-destination (OD) demand is important input to many simulation models applied within d...
ju kic D yn am ic O D D em an d E stim atio n an d P red ictio n fo r D yn am ic Traffi c M an ag em...
Time-dependent Origin-Destination (OD) demand information is a fundamental input for Dynamic Traffic...
: This paper presents a pre-trip demand simulator with predictive capabilities and an explicit simul...
In this paper, the use of advanced traffic data is discussed to contribute to the ongoing debate abo...
In this paper, the use of advanced traffic data is discussed to contribute to the ongoing debate abo...
For a static/dynamic O-D matrix estimation, usually, the basic required information is a starting es...
A spectrum of traffic engineering and modern transportation planning problems requires the knowledge...
The aim of this paper is to explore a new approach to obtain better traffic demand (Origin-Destinati...
Origin-Destination (OD) trip matrices describe the patterns of traffic behavior across the network a...
AbstractFor a static/dynamic O-D matrix estimation, usually, the basic required information is a sta...
Availability of accurate trip demand estimates plays a key role for both long term and short term tr...
This dissertation aims to improve the performance of existing assignment-based dynamic origin-destin...
Dynamic Traffic Assignment (DTA) has become a main component of modern traffic control centres. To ...
The Dynamic OD Matrix Estimation (DODME) is a hard problem since no direct full observations are ava...