A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
An integrated, dynamic approach to travel demand forecasting
Abstract This paper presents a unified approach for improving travel demand models through the application and extension of supernetwork models of multi-dimensional travel choices. Proposed quite some time ago, supernetwork models solved to stochastic user equilibrium can provide a simultaneous solution to trip generation, distribution, mode choice, and assignment that is consistent with disaggregate models and predicts their aggregate effects. The extension to incorporate the time dimension through the use of dynamic equilibrium assignment methods is proposed as an enhancement that is necessary in order to produce realistic models. A variety of theoretical and practical problems are identified whose solution underlies implementation of this approach. Recommended future research includes improved algorithms for stochastic and dynamic equilibrium assignment, new methods for calibrating assignment models, and the use of Geographic Information Systems (GIS) technology for data and model management.
An integrated, dynamic approach to travel demand forecasting
Abstract This paper presents a unified approach for improving travel demand models through the application and extension of supernetwork models of multi-dimensional travel choices. Proposed quite some time ago, supernetwork models solved to stochastic user equilibrium can provide a simultaneous solution to trip generation, distribution, mode choice, and assignment that is consistent with disaggregate models and predicts their aggregate effects. The extension to incorporate the time dimension through the use of dynamic equilibrium assignment methods is proposed as an enhancement that is necessary in order to produce realistic models. A variety of theoretical and practical problems are identified whose solution underlies implementation of this approach. Recommended future research includes improved algorithms for stochastic and dynamic equilibrium assignment, new methods for calibrating assignment models, and the use of Geographic Information Systems (GIS) technology for data and model management.
An integrated, dynamic approach to travel demand forecasting
Slavin, Howard (author)
Transportation ; 23
1996
Article (Journal)
English
Travel Demand Forecasting with Dynamic Microsimulation
| British Library Online Contents | 1992
Travel Demand Forecasting Procedures 1982
| NTIS | 1982
Travel demand forecasting 2014 ; Vol. 2
TIBKAT | 2014
Travel demand forecasting 2009 ; Vol. 2
TIBKAT | 2009