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 |
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Keywords
- Cross-resolution model
- Dynamic traffic assignment
- Emission estimation
- Integrated traffic emission model
ASJC Scopus subject areas
- Environmental Science(all)
- Transportation
Cite this
Integrating a simplified emission estimation model and mesoscopic dynamic traffic simulator to efficiently evaluate emission impacts of traffic management strategies. / Zhou, Xuesong; Tanvir, Shams; Lei, Hao; Taylor, Jeffrey; Liu, Bin; Rouphail, Nagui M.; Frey, H. Christopher.
In: Transportation Research Part D: Transport and Environment, Vol. 37, 2015, p. 123-136.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Integrating a simplified emission estimation model and mesoscopic dynamic traffic simulator to efficiently evaluate emission impacts of traffic management strategies
AU - Zhou, Xuesong
AU - Tanvir, Shams
AU - Lei, Hao
AU - Taylor, Jeffrey
AU - Liu, Bin
AU - Rouphail, Nagui M.
AU - Frey, H. Christopher
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Cross-resolution model
KW - Dynamic traffic assignment
KW - Emission estimation
KW - Integrated traffic emission model
UR - http://www.scopus.com/inward/record.url?scp=84941658996&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84941658996&partnerID=8YFLogxK
U2 - 10.1016/j.trd.2015.04.013
DO - 10.1016/j.trd.2015.04.013
M3 - Article
AN - SCOPUS:84941658996
VL - 37
SP - 123
EP - 136
JO - Transportation Research, Part D: Transport and Environment
JF - Transportation Research, Part D: Transport and Environment
SN - 1361-9209
ER -