DocumentCode :
1945302
Title :
Traffic jam modeling and simulation
Author :
Yin, Derek ; Qiu, Tony Z.
Author_Institution :
Dept. of Civil & Environ. Eng., Univ. of Alberta, Edmonton, AB, Canada
fYear :
2012
fDate :
16-19 Sept. 2012
Firstpage :
1423
Lastpage :
1428
Abstract :
In this paper various theories on traffic jams and stop-and-go wave modeling were reviewed and discussed. These include traditional microscopic car-following model, asymmetric traffic theory, first-order and second-order macroscopic models, traffic disturbance model, phase transition model as well as macroscopic simulation. The mechanism of stop-and-go waves, causes, generation, propagation, and absorption was discussed. A macroscopic simulation model was developed which suits for both free flow and stop-and-go traffic conditions. Ten hours of macroscopic simulation was performed on a section of freeway in California. The model predicted traffic speed and density were compared with field measured data. It was concluded that by applying proper boundary conditions for each roadway segment and incorporating capacity drop in the model, the macroscopic simulation model can reasonably predict the stop-and-go traffic states.
Keywords :
modelling; simulation; traffic; asymmetric traffic theory; first-order macroscopic models; microscopic car-following model; phase transition model; second-order macroscopic models; stop-and-go wave modeling; traffic density; traffic disturbance model; traffic jam modeling; traffic jam simulation; traffic speed; Asymptotic stability; Jamming; Lead; Stability analysis; Traffic control; Uninterruptible power systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on
Conference_Location :
Anchorage, AK
ISSN :
2153-0009
Print_ISBN :
978-1-4673-3064-0
Electronic_ISBN :
2153-0009
Type :
conf
DOI :
10.1109/ITSC.2012.6338916
Filename :
6338916
Link To Document :
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