Abstract
This paper presents a computationally efficient and theoretically rigorous dynamic traffic assignment (DTA) model and its solution algorithm for a number of emerging emissions and fuel consumption related applications that require both effective microscopic and macroscopic traffic stream representations. The proposed model embeds a consistent cross-resolution traffic state representation based on Newell's simplified kinematic wave and linear car following models. Tightly coupled with a computationally efficient emission estimation package MOVES Lite, a mesoscopic simulation-based dynamic network loading framework DTALite is adapted to evaluate traffic dynamics and vehicle emission/fuel consumption impact of different traffic management strategies.
Original language | English (US) |
---|---|
Pages (from-to) | 123-136 |
Number of pages | 14 |
Journal | Transportation Research Part D: Transport and Environment |
Volume | 37 |
DOIs | |
State | Published - 2015 |
Keywords
- Cross-resolution model
- Dynamic traffic assignment
- Emission estimation
- Integrated traffic emission model
ASJC Scopus subject areas
- Civil and Structural Engineering
- Transportation
- Environmental Science(all)