In road mixed traffic, pedestrians and nonmotor vehicles have a great impact on the driving of motor vehicles. This kind of influence not only threatens the road traffic safety but also leads to the increase of delay and the decrease of traffic capacity. The purpose of this paper is to study the theory and method of data acquisition of mixed traffic popular people and nonmotor vehicles based on image processing technology. Aiming at the problem that the basic state space model solves the phenomenon of “failure” such as mutual interference between mixed objects, this paper proposes a KF tracking model based on a fuzzy matching method to realize the effective and accurate tracking of mixed traffic objects. The experimental results show that, after extracting the morphological features of the detected pedestrian and nonmotor vehicle images and using the method of pattern recognition to classify, recognize, and count the mixed traffic objects, through the comparison of the two trajectory lines, we can see that the tracking accuracy of the algorithm is high under the mutual interference of pedestrian and nonmotor vehicle. Excluding the detection error, the pedestrian tracking error is less than 10 pixels, the average error is 2.366 pixels, the maximum error of nonmotor vehicle tracking is 19 pixels, and the average error is 2.5 pixels.
Bridges across waterways are susceptible to failure from ship collisions. Therefore, to provide a reference for bridge design and protection, reported here is a study of the response of a bridge pier during a collision with a barge. First, sphere–cylinder collision experiments were conducted in a water flume, and the fluid–structure interaction (FSI) method was implemented in the LS-DYNA software to simulate the collision process. The numerical and experimental values of the peak impact force agreed within 10%, thereby validating the FSI method for simulating the sphere–cylinder collision. Next, the FSI method was used to simulate the barge–pier collision process, in which the effects of barge mass, speed, collision angle, and location were considered. The simulated collision results of impact force, crush depth of barge bow, and displacement are summarized and discussed in detail. Unlike the constant added mass (CAM) method, the FSI method considers fluid–structure coupling and reproduces the collision phenomena whereby the barge stops upon collision and then goes into reverse. The water then propels the barge forward to collide with the pier repeatedly. Therefore, the FSI method is more effective for simulating barge–pier collisions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.