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EN
The increasing importance of better transport connectivity has indicated the need to develop high-speed road load monitoring technologies. The Belt and Road Initiative (BRI), Silk Road transportation programs considerable have developed the roads and highways networks in Kazakhstan and other Central Asian (CA) countries. Transportation services require proper maintenance and prompt track load monitoring. There is no holistic freight traffic management system that controls and monitors traffic flow in CA. A Weigh in Motion (WIM) technology can be used as an effective traffic management control system in the CA region. The WIM technology is designed to control axle and gross vehicle weight in motion. It has a wide range of applications, including pavement and bridge weight control, traffic legislation and state regulations. The WIM technology has advantages over conventional static weighing as it does not interrupt traffic flow by creating queues at monitoring stations. The WIM technology can be used not only as a weight control tool but also performs a comprehensive analysis of other traffic flow parameters. In cooperation with Korean UDNS experts with suport from KAIA, we test the application of WIM in Nur-Sultan city, North of Kazakhstan, with Siberian-type cold weather. These works create much challenges and innovative approach to test sensors in the harsh environment, from the extreme cold to hot temperatures, with intensive dust distortions. Our Talapker WIM pilot test site was installed in September 2020, and it performs Gross Vehicle Weight (GVW) and Axle of Weight (AOW) analyses. The Talapker WIM High Speed (HS) sensors are capable of detecting different driving patterns, including everyday driving, acceleration or deceleration more than 10km/h/s and eccentric driving (partial contact with the platform to avoid excessive weighting). The pilot Talapker HS WIM site has demonstrated a positive effect on implementing WIM technology in Kazakhstan. Every 10th car passing through the WIM site registered as an overloaded vehicle by gross weighting, and every 5th car is considered overloaded by axle weighting. GIS-based location allocation analysis (LAA) performed in the given study provided an understanding of a practical implementation of WIM sensors. Taking into consideration different geographical data, the WIM site map was developed to reveal 43 suitable locations. Further improvements for the CA road network and their WIM demand points will be the focus of future research investigations.
PL
Tematem artykułu są wyniki badań i opis urządzeń, opracowanych i wykonanych w firmie Adaptronica, monitorujących obciążenia w transporcie kolejowym. Wagi dynamiczne zbudowane są na bazie przetworników mocowanych w sposób nieinwazyjny do stopki szyny, a identyfikacja obciążeń opiera się na pomiarze odkształceń szyny kolejowej wywołanych przejazdem pociągu. W artykule przedstawiono wyniki badań uzyskanych podczas monitorowania odcinków linii kolejowych, charakteryzujących się znaczną intensywnością ruchu pociągów. Określono histogramy wartości obciążeń osiowych badanych pojazdów. Rezultaty zweryfikowano w oparciu o wyniki pomiarów referencyjną wagą statyczną lub o pomiary przejazdów lokomotyw o znanej masie.
EN
The article presents the devices for monitoring loads in railway transport, developed and manufactured by the Adaptronica company. Dynamic scales utilize portable transducers fixed in a noninvasive way to the rail foot. Load identification is based on the measurements of rail deformations caused by a passing train. The article presents the results obtained during the monitoring of railway lines, characterized by significant intensity of train traffic. Histograms of axial load values of the tested vehicles were determined. The measurements’ results were verified with the results obtained with a reference static scale or with the results obtained during passage of locomotives with a given mass.
EN
The article presents an example of a dynamic traffic flow modeling using as a data source information the measurement system weight Preselection Implemented in Gdynia. The measuring point is located on the road leading to the Gdynia container terminals and to Gdynia Kwiatkowski, which is Directly connected with the TriCity Bypass. One of the goals of the system is collect data which can be used for operational purposes and statistics. Measurement period allowed the appointment of a mathematical model which describes the dynamic variation of the structure of the stream. In Addition, an analysis of the variability of the traffic flow in both the daily and weekly basis is presented. This give possibility to determine the effect of time of day and day of the week on the parameters of a dynamic model describing the structure of a generic stream. The resulting model allows the study of the impact of the share of heavy vehicles on ride comfort of passenger cars.
4
Content available remote Polarimetric sensor for weigh-in motion of road vehicles
EN
Weigh-in-motion (WIM) of road vehicles is a technology used in many applications, ranging from research to law enforcement. Sensors for WIM systems should exhibit high dynamic range, good accuracy and repeatability, as well as long service life. One of the most promising group of sensors for this application are polarimetric sensors, due to their simplicity and high sensitivity. Their viability for this application has been successfully demonstrated. Preliminary tests shown however, that the construction of the sensors should be modified to eliminate hysteresis and sensor's nonlinearity.
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