Application of the Real-Time Kinematic Global Positioning System in Bridge Safety Monitoring

2005 ◽  
Vol 10 (2) ◽  
pp. 163-168 ◽  
Author(s):  
Jinjun Guo ◽  
Liang Xu ◽  
Lianjun Dai ◽  
Mike McDonald ◽  
Jianping Wu ◽  
...  
2013 ◽  
Vol 671-674 ◽  
pp. 2053-2056
Author(s):  
Yi Lin Guo ◽  
Yan Xin

With the application of Global Positioning System (GPS) echnology using in the field of modern transport, more and more long-span bridges have set up the GPS system to monitor the real-time deformation in safety monitoring system. Nowadays the highest measuring accuracy of GPS technology achieves millimeter, and the sampling frequency can reach 20Hz. It can solve real-time deformation data and adapt to the complexity and poor working environment. Based on the application of GPS technology using in long-span bridges safety monitoring system, this paper set the Huangpu bridge as the engineering project and demonstrate how to apple the GPS technology in deformation monitoring and security evaluation.


2002 ◽  
Vol 1802 (1) ◽  
pp. 166-180 ◽  
Author(s):  
Gemunu Senadeera Gurusinghe ◽  
Takashi Nakatsuji ◽  
Yoichi Azuta ◽  
Prakash Ranjitkar ◽  
Yordphol Tanaboriboon

The real-time kinematic differential Global Positioning System (GPS) has facilitated a new horizon in traffic engineering. Multiple car-following experiments conducted with a real-time kinematic GPS with 10 vehicles participating in a probing field gave high-quality results in headway, speed, relative speed, and acceleration. The expected accuracies for measuring position and speed were 10 mm and 0.16 km/h, respectively. The vehicles were driven in a loop consisting of two parallel straight sections connected by two semicircular curves. Different driving conditions were induced in the platoon by instructing the leading driver to follow predetermined speed variations. The experiments yielded sets of continuous observations. Headway, speed, and acceleration were measured using conventional equipment for the purpose of comparing accuracy. The accuracy of the data obtained using the GPS was superior to that of the same data obtained using conventional measurements. The variation in driving characteristics down the stream of vehicles was studied using the experimental data. The results showed that the reaction time between a change in relative speed and the corresponding change in acceleration varies during the driving process. The reaction time of individual drivers also changes along the platoon. The good-quality data were able to give high-resolution plots of acceleration and relative speed illustrating that both the reaction time and the functional relationship between acceleration and relative speed do not remain constant.


2013 ◽  
Vol 734-737 ◽  
pp. 2811-2814
Author(s):  
Shu Wei Huang ◽  
Dan Li Wen ◽  
Fu Jin

The outdoor vehicles computer dispatch system based on Global Positioning System (GPS) was discussed. This system integrates computer, wireless digital communication, GPS positioning system, networking protocol, optimal dispatching management and software, and realizes the real-time intelligent optimizing dispatching of monomer mobile equipment.


Author(s):  
Mohammad K. Al-Sharman ◽  
Mohammad Amin Al-Jarrah ◽  
Mamoun Abdel-Hafez

The high estimated position error in current commercial-off-the-shelf (GPS/INS) impedes achieving precise autonomous takeoff and landing (TOL) flight operations. To overcome this problem, in this paper, we propose an integrated global positioning system (GPS)/inertial navigation system (INS)/optical flow (OF) solution in which the OF provides an accurate augmentation to the GPS/INS. To ensure accurate and robust OF augmentation, we have used a robust modeling method to estimate OF based on a set of real-time experiments conducted under various simulated helicopter-landing scenarios. Knowing that the accuracy of the OF measurements is dependent on the accuracy of the height measurements, we have developed a real-time testing environment to model and validate the obtained dynamic OF model at various heights. The performance of the obtained OF model matches the real OF sensor with 87.70% fitting accuracy. An accuracy of 0.006 m/s mean error between the real OF sensor velocity and the velocity of the OF model is also achieved. The velocity measurements of the obtained OF model and the position of the GPS/INS are used in performing a dynamic model-based sensor fusion algorithm. In the proposed solution, the OF sensor is engaged when the vehicle approaches a landing spot that is equipped with a predefined landing pattern. The proposed solution has succeeded in performing a helicopter auto TOL with a maximum position error of 27 cm.


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