Long-distance and daily travel demand: integration of various travel markets and modelling approaches | Zendy

Carlos Llorca | Zendy; Christian Winkler | Zendy; Tudor Mocanu | Zendy; Rolf Moeckel | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Long-distance and daily travel demand: integration of various travel markets and modelling approaches

Author(s) -

Carlos Llorca,

Christian Winkler,

Tudor Mocanu,

Rolf Moeckel

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.04.107

Subject(s) - trips architecture , computer science , metropolitan area , travel behavior , travel time , on demand , transport engineering , operations research , geography , multimedia , archaeology , parallel computing , engineering

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research