Multi-class Dynamic Traffic Assignment based on Link Transmission Model and Mathematical Programming
Xiao Lin, Lorant Tavasszy
- Conference
- hEART 2022: 10th Symposium of the European Association for Research in Transportation (2022)
- Publication year
- 2022
Abstract
We develop a multi-class dynamic traffic assignment procedure based on the link transmission model. LTM has been used for DTA, but without the consideration with multiple vehicle classes. We extend LTM using the dynamic PCE principle that considers vehicle spacing under both free flow and congested conditions. The multi-class DTA can be formulated as linear programming. A small instance is implemented in Matlab. The results of the instance are illustrated and discussed.
How to cite
Xiao Lin; Lorant Tavasszy (2022). Multi-class Dynamic Traffic Assignment based on Link Transmission Model and Mathematical Programming. In: hEART 2022: 10th Symposium of the European Association for Research in Transportation.