Characterization of network traffic processes under adaptive traffic control systems

2015 ◽  
Vol 59 ◽  
pp. 340-357 ◽  
Author(s):  
Alessandra Pascale ◽  
Thanh Lam Hoang ◽  
Rahul Nair
2017 ◽  
Vol 19 (4) ◽  
pp. 2432-2455 ◽  
Author(s):  
Zubair Md. Fadlullah ◽  
Fengxiao Tang ◽  
Bomin Mao ◽  
Nei Kato ◽  
Osamu Akashi ◽  
...  

2021 ◽  
Vol 7 (4) ◽  
pp. 565-583
Author(s):  
A. V. Banite ◽  
◽  
D. S. Deriaga ◽  
O. V. Leonenko ◽  
◽  
...  

The article is devoted to the prospects of improving the quality of traffi c in the junction of the urban street and road network through the introduction of intelligent transport systems, especially automatic traffi c control systems (ATCS). The paper analyzes the problems of implementing intelligent transport systems in urban conditions, taking into account the current regulatory framework. The classifi cation of local automated traffi c control systems according to the adaptability of traffi c light regulation to the changing parameters of traffi c fl ows is given. For the decision of a problem of practicability of introduction of ACSDS, the technique including construction of imitation models for more exact forecasting of eff ect of introduction of local ACSDS on the considered site of an urban street-road network is off ered. The application of the methodology is demonstrated on the example of the intersection of Engels Avenue and Suzdal Avenue in St. Petersburg. Two variants of the organization of control of phases of traffi c light objects are analyzed: static and adapted according to the time of day. The infl uence of ADCS implementation on average speed of vehicles and characteristics of traffi c jams in the junction in question was estimated based on simulation modeling in PTV Vissim. In accordance with the analysis, the prospects of introducing adaptive local ACSDS in the considered transport junction are described


Tehnika ◽  
2017 ◽  
Vol 72 (1) ◽  
pp. 98-106 ◽  
Author(s):  
Danilo Radivojevic ◽  
Stamenka Stankovic ◽  
Nikola Celar ◽  
Smiljan Vukanovic

Author(s):  
Song He ◽  
Ossama Salem ◽  
Baris Salman

Transportation systems management and operations (TSM&O) strategies such as adaptive traffic control systems (ATCSs) and ramp metering systems (RMSs) can be utilized to exploit existing transporting capacity instead of undertaking costly new construction projects. This paper presents an asset management framework for TSM&O components used in ATCSs and RMSs including signal heads, controllers, detectors, supporting structures, and communication lines to support the decision making processes of transportation agencies. ATCS and RMS overall condition ratings and importance indices are the two parameters that contribute to prioritization of these TSM&O applications. A fuzzy logic approach is used to combine these two major components. Inspection guidelines and published cost databases are primary data sources, while economic (agency), social (traveler), and environmental benefits that would be lost in case of failures are considered in developing procedures to determine the importance indices. This asset management framework allows transportation agencies to identify ATCS and RMS deployments with high risk considering both the condition levels and benefits provided by these deployments, and hence constitutes a highly important step towards development of risk management and mitigation plans featuring appropriate maintenance, repair and rehabilitation (MRR) strategies. Future research can integrate additional TSM&O components into the asset management framework, and the boundary of benefits considered in determining the importance indices can be expanded.


2004 ◽  
Vol 152 (2) ◽  
pp. 321-333 ◽  
Author(s):  
Apostolos Kotsialos ◽  
Markos Papageorgiou

Author(s):  
Nemanja Dobrota ◽  
Aleksandar Stevanovic ◽  
Nikola Mitrovic

Adaptive traffic control systems (ATCSs), have been in use since the late 1970s but have only received significant attention in the U.S. during the last 10 years. Since 2008, the number of these systems has increased by more than 600%. A brief literature review clearly shows a shortage of comprehensive studies that gather data from numerous field evaluations, categorize those evaluations based on several factors, summarize findings, and develop meaningful conclusions. This study addresses this gap by presenting a framework and a tool which enable comprehensive analysis of ATCSs deployed and evaluated in the U.S. Compared with some previous studies, where the focus was on brief and general experiences with ATCSs, the tool presented in this study allows detailed analysis of ATCS deployments and investigation of numerous criteria important for their evaluations. Relevant ATCS data from deploying agencies and literature are collected, discussed, and used to populate a database of the Assessment Tool for Adaptive Traffic Control ([AT]2C). The main purpose of (AT)2C is to help practitioners and researchers to identify, compare, and assess statistics of relevant ATCS technologies, mainly from the perspective of their field benefits.


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