Abstract
Most travel demand models simplify the representation of trips from/to external zones. Despite the higher frequency of internal daily travel, long-distance travel cannot be neglected due to its high contribution to the travelled distance. In this paper we integrate two different models that represent those two travel segments. MITO is an agent-based model for travel demand implemented in the metropolitan area of Munich. DEMO is a macroscopic model that generates travel demand in Germany. DEMO is used to represent the external, long-distance travel from, to or through the MITO study area. DEMO demand is disaggregated and is jointly assigned with MITO trips using the transport model MATSim. The integration significantly improves the validation of the model against traffic counts and facilitates the simulation capabilities when the scenarios affect major roads.
| Original language | English |
|---|---|
| Pages (from-to) | 788-793 |
| Number of pages | 6 |
| Journal | Procedia Computer Science |
| Volume | 151 |
| DOIs | |
| State | Published - 2019 |
| Event | 10th International Conference on Ambient Systems, Networks and Technologies, ANT 2019 and The 2nd International Conference on Emerging Data and Industry 4.0, EDI40 2019, Affiliated Workshops - Leuven, Belgium Duration: 29 Apr 2019 → 2 May 2019 |
Keywords
- Agent-based model
- Long-distance demand
- Model integration