The main aim of Dynamic Traffic Management is efficient and effective use of the existing traffic infrastructure network. To reach this goal, traffic operators take measures, based on the current traffic situation, control schemes and information services at hand, that (try to) influence and distribute traffic in such a manner that it makes optimal use of the present road infrastructure. In this dissertation, the performances of models that were developed to produce accurate congestion prediction are compared. The prediction horizon is short-term period of 5, 10, 15, 20, 25, or 30 minutes. All assessed models are based on data driven methods
Congestion is increasing in many urban areas. This has led to a growing awareness of the importance ...
Short-term traffic prediction has a lot of potential for traffic management. However, most research ...
none2While vehicular congestion is very often defined in terms of aggregate parameters such as traff...
The main aim of Dynamic Traffic Management is efficient and effective use of the existing traffic in...
Frequent road traffic congestion is now a global issue. One of the proposed solutions to this proble...
Although extensive work in short-term traffic prediction has been done, study on the predictability ...
Reliable and accurate short-term traffic state prediction can improve the performance of real-time t...
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...
Ensuing from the deteriorating conditions of road networks, traffic forecasting techniques with math...
Reliable and accurate short-term traffic state prediction can improve the performance of real-time t...
Reliable and accurate short-term traffic state prediction can improve the performance of real-time t...
Accurate prediction of traffic congestion at the granularity of road segment is important for planni...
Traffic congestion is a major factor to consider in the development of a sustainable urban road netw...
Intelligent Transport Systems (ITS) is a field that has developed rapidly over the last two decades,...
Congestion is increasing in many urban areas. This has led to a growing awareness of the importance ...
Short-term traffic prediction has a lot of potential for traffic management. However, most research ...
none2While vehicular congestion is very often defined in terms of aggregate parameters such as traff...
The main aim of Dynamic Traffic Management is efficient and effective use of the existing traffic in...
Frequent road traffic congestion is now a global issue. One of the proposed solutions to this proble...
Although extensive work in short-term traffic prediction has been done, study on the predictability ...
Reliable and accurate short-term traffic state prediction can improve the performance of real-time t...
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...
Ensuing from the deteriorating conditions of road networks, traffic forecasting techniques with math...
Reliable and accurate short-term traffic state prediction can improve the performance of real-time t...
Reliable and accurate short-term traffic state prediction can improve the performance of real-time t...
Accurate prediction of traffic congestion at the granularity of road segment is important for planni...
Traffic congestion is a major factor to consider in the development of a sustainable urban road netw...
Intelligent Transport Systems (ITS) is a field that has developed rapidly over the last two decades,...
Congestion is increasing in many urban areas. This has led to a growing awareness of the importance ...
Short-term traffic prediction has a lot of potential for traffic management. However, most research ...
none2While vehicular congestion is very often defined in terms of aggregate parameters such as traff...