An adaptive route choice model for integrated fixed and flexible transit systems

Over the past decade, there has been a surge of interest in the application of agent-based simulation models to evaluate flexible transit solutions characterized by different degrees of short-term flexibility in routing and scheduling. A central modelling decision in the development is how one chooses to represent the mode- and route-choices...

Evaluating crowding in individual train cars using a dynamic transit assignment model

As travel demand grows in many cities around the world, overcrowding in public transport systems has become a major issue and has many negative effects for both users and operators. Measures to address on-board congestion span from large-scale strategic investments (e.g. increasing infrastructure capacity), through tactical planning (e.g....

Frequency and Vehicle Capacity Determination using a Dynamic Transit Assignment Model

This paper presents a model for frequency and vehicle capacity determination that uses a transit assignment model which can capture the dynamic effects on overall system performance. This allows accounting for variations in service reliability and crowding that have not been accounted for in the tactical planning insofar. Model formulation...

Determination of headways and vehicle capacities in public transport networks using a dynamic assignment model

The thesis project deals with the tactical determination of supply provision in terms of line frequencies and deployed vehicle capacities in public transport networks using a dynamic assignment model. To this end, an agent-based dynamic and stochastic simulation model for public transport operations, that can consider service reliability issues,...

Modelling public transport congestion: A comparison of static and dynamic models

Evaluating transit preferential measures: Priority lanes, boarding and control strategies

Assessment of bus service improvements such as bus lanes, allowing boarding through all doors and headway-based holding control ideally requires a simulation model that combines features of both classical analytical models and microscopic simulation. However, as the usage of such models has been limited, their validity has hitherto remained low....