Road traffic data collection

2020 ◽  
pp. 5-26
Author(s):  
Paul Burton ◽  
Neil Hoose
Keyword(s):  
Data Collection ◽  
Road Traffic ◽  
Traffic Data ◽  
Traffic Data Collection

scholarly journals Overview of emerging road traffic data collection methods

2021 ◽  
Author(s):  
Sandra Mihalinac ◽  
Maja Ahac ◽  
Saša Ahac ◽  
Miroslav Šimun
Keyword(s):  
Data Collection ◽  
Traffic Flow ◽  
Road Network ◽  
Road Traffic ◽  
Traffic Volume ◽  
Transport Systems ◽  
Traffic Data ◽  
Data Collection Methods ◽  
Traffic Data Collection ◽  
Collection Methods

It is a well-known fact that the data on road traffic flow characteristics is essential for sustainable road network management. First road traffic volume counts date back to the 1950s when short-term periodic road traffic counts were carried out in cities worldwide. Manual traffic counting is one of the oldest and most technologically simple methods to obtain data on road traffic volume and its composition. Today, because of the ever-growing road transport demand, it has become clear that the development of Intelligent Transport Systems (ITS) is vital to increase safety and tackle increasing emission and congestion problems. The introduction of ITS highly depends on the quality and quantity of traffic data. Under the growing requirement of long-term traffic flow information, various traffic data collection methods have evolved. They allow systematic recording of the traffic flow volume and composition but also vehicle speed, total gross weight, number of axles, axle load and travel destination. This data, which is collected continuously over longer periods, enables a detailed analysis of traffic flows, and represents the basis for decision making in planning, designing, construction and maintenance of road infrastructure. This paper gives an overview of traditional and emerging traffic data collection methods - both fixed and mobile - and the analysis of the current road traffic data collection methods used on the Croatian road network, in terms of their potential and limitations.

scholarly journals Vision-Based Traffic Data Collection Sensor for Automotive Applications

Sensors ◽  
2010 ◽  
Vol 10 (1) ◽  
pp. 860-875 ◽  
Author(s):  
David F. Llorca ◽  
Sergio Sánchez ◽  
Manuel Ocaña ◽  
Miguel. A. Sotelo
Keyword(s):  
Data Collection ◽  
Traffic Data ◽  
Automotive Applications ◽  
Traffic Data Collection

scholarly journals The Capacity of the Road Network: Data Collection and Statistical Analysis of Traffic Characteristics

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1765 ◽  
Author(s):  
Vladimir Shepelev ◽  
Sergei Aliukov ◽  
Kseniya Nikolskaya ◽  
Salavat Shabiev
Keyword(s):  
Data Collection ◽  
Road Traffic ◽  
Negative Consequences ◽  
The Road ◽  
Traffic Characteristics ◽  
Traffic Capacity ◽  
Traffic Data Collection ◽  
Fuzzy Logic Method ◽  
Additional Fuel Consumption ◽  
Additional Fuel

The possibilities of collecting the necessary information using multi-touch cameras and ways to improve road traffic data collection are considered. An increase in the number of vehicles leads to traffic jams, which in turn leads to an increase in travel time, additional fuel consumption and other negative consequences. To solve this problem, it is necessary to have a reliable information collection system and apply modern effective methods of processing the collected information. The technology considered in the article allows taking into account pedestrians crossing the intersection. The purpose of this article is to determine the most important traffic characteristics that affect the traffic capacity of the intersection, in other words, the actual number of passing cars. Throughput is taken as a dependent variable. Based on the results of the regression analysis, a model was developed to predict the intersection throughput taking into account the most important traffic characteristics. Besides, this model is based on the fuzzy logic method and using the Fuzzy TECH 5.81d Professional Edition computer program.

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