Traffic Control Method on Efficiency of Urban Expressway Accompanied Frequent Aggressive Driving Behavior

2016 ◽  
Vol 42 (3) ◽  
pp. 973-984 ◽  
Author(s):  
Dan Yu ◽  
Yihu Wu ◽  
Wei Yu ◽  
Shiya Kou ◽  
Na Yang
2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Lina Wu ◽  
Yusheng Ci ◽  
Yichen Sun ◽  
Wei Qi

The traffic operational efficiency of the urban expressway system will affect one of the entire cities. Moreover, the idea that traffic control can improve the traffic operational efficiency of the urban expressway system has been fully confirmed. At present, the main control methods include on-ramp metering and speed guidance control. However, there is a gap in using these two control methods together, such as unclear application conditions and unsystematic methods. In this paper, on-ramp metering and speed guidance control are combined effectively. Based on the research of METANET macroscopic traffic flow model and model predictive control (MPC), a novel joint control method based on MPC and connected vehicles (CVs) for on-ramp metering and speed guidance control of the urban expressway is proposed. Finally, the simulation results show that the proposed control method can effectively improve the traffic efficiency and traffic safety.


2018 ◽  
pp. 163-182
Author(s):  
Arash Jahangiri ◽  
Sahar Ghanipoor Machiani ◽  
Vahid Balali

Psycho Idea ◽  
2021 ◽  
Vol 19 (1) ◽  
pp. 79
Author(s):  
Muhammad Wika Kurniawan ◽  
Indra Prapto Nugroho

The aim of the study is determining whether there is a role of self control toward aggressive driving behavior on motorcyclist. This study hypothesizes that there is a role of self control toward aggressive driving behavior on motorcyclist. This study used 200 young male motorcyclists in South Sumatera as participants who already has driving license C and used 50 motorcyclists as the trial participants. The sampling technique was purposive sampling. The study measurements are self control scale and aggressive driving behavior scale that refer to Averill’s (1973) self control types and Tasca’s (2000) aggressive driving behavior forms. Data analysis used simple regression.The result of simple regression shows R square = 0,507, F= 203,680, and p = 0,000 (p<0,05). This means that self control has a significant role toward aggressive driving behavior. Thus, the hypothesis could be accepted and self control contribution toward aggressive driving behavior is 50,7%.


PAMM ◽  
2005 ◽  
Vol 5 (1) ◽  
pp. 693-694
Author(s):  
Tilman Seidel ◽  
Ingenuin Gasser ◽  
Gabriele Sirito ◽  
Bodo Werner

2018 ◽  
Vol 25 (4) ◽  
pp. 74-81 ◽  
Author(s):  
Bomin Mao ◽  
Fengxiao Tang ◽  
Zubair Md. Fadlullah ◽  
Nei Kato ◽  
Osamu Akashi ◽  
...  

2021 ◽  
Author(s):  
Kazuko Okamura ◽  
Ritsu Kosuge ◽  
Yukako Nakano ◽  
Yutaka Kanno ◽  
Ayaka Ueno ◽  
...  

2013 ◽  
Author(s):  
Kenneth H. Beck ◽  
Stacey B. Daughters ◽  
Bina Ali

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