Analysis of CO2 emission in traffic flow and numerical tests

2013 ◽  
Vol 392 (20) ◽  
pp. 4787-4792 ◽  
Author(s):  
Wen-Xing Zhu
Keyword(s):  
2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Zhongke Shi ◽  
Wenhuan Ai ◽  
Dawei Liu

We present an improved macro model for traffic flow based on the existing models. The equilibrium point equation of the model is obtained. The stop-and-go traffic phenomenon is described in phase plane and the relationship between traffic jams and system instability is clearly shown in the phase plane diagrams. Using the improved model, some traffic phenomena on a highway with ramps are found in this paper. The numerical simulation is carried out to investigate various nonlinear traffic phenomena with a single ramp generated by different initial densities and vehicle generation rates. According to the actual road sections of Xi’an-Baoji highways, the situations of morning peak with several ramps are also analyzed. All these results are consistent with real traffic, which shows that the improved model is reasonable.


2009 ◽  
Vol 51 (1) ◽  
pp. 71-78 ◽  
Author(s):  
Tang Tie-Qiao ◽  
Huang Hai-Jun ◽  
S.C Wong ◽  
Gao Zi-You ◽  
Zhang Ying

2009 ◽  
Vol 23 (05) ◽  
pp. 743-752 ◽  
Author(s):  
T. Q. TANG ◽  
H. J. HUANG ◽  
S. G. ZHAO ◽  
G. XU

In this paper, the optimal velocity (OV) model is extended to take account of the effect that the driver's memory has on the car-following behavior. The stability condition of the proposed model is obtained by using linear stability theory. The modified Korteweg-de Vries (mKdV) equation is obtained and solved. Traffic flows in the headway-sensitivity space are classified into three types as stable, metastable and unstable. Both analytical and simulation results show that introduction of driver's memory in the acceleration can improve the stability of traffic flow. It is also found that the stable region will be enlarged with the increase of the past information considered. Finally, numerical tests show that properly considering driver's memory can improve the stability of traffic flow.


2002 ◽  
Vol 36 (5) ◽  
pp. 405-419 ◽  
Author(s):  
Rui Jiang ◽  
Qing-Song Wu ◽  
Zuo-Jin Zhu

2009 ◽  
Vol 20 (06) ◽  
pp. 941-952 ◽  
Author(s):  
TIE-QIAO TANG ◽  
YAN LI ◽  
HAI-JUN HUANG

In this paper, we use the traffic flow model proposed by Tang et al. [Physica A387, 6845 (2008)] to study the effects of bus stop on traffic flow. Our numerical tests show that bus stop will have great effects on the stability of traffic flow and that the effects are related to the initial density and the number of bus stops. The numerical results are accordant with the real traffic, which shows that the model proposed by Tang et al. can describe some complex traffic phenomena resulted by bus stop.


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