Abstract. Problem. The transport systems of Ukrainian cities have a fairly high number of problem areas with difficult conditions for traffic, one such example being exits to main streets from adjacent territories. The probability of transport problems at such facilities is difficult to predict even at the design stage, which ultimately has negative consequences that affect the quality of transport services for road users within these facilities. These shortcomings are already being addressed by traffic management specialists who have transport modeling skills and have the appropriate software packages at their disposal. Goal. The main purpose of the article is to estimate vehicle delays at the adjacent territory exit to main streets using PTV VISSIM. Methodology. Development of a simulation model of the object selected for the study; assessment of traffic delays for the existing traffic management option; development of measures to improve traffic management at the selected object of experimental research and evaluation of their effectiveness. Results. The result of the simulation model is the animation of traffic in the form of a real-time graphic and the subsequent output of transport and technical parameters: travel time distribution, traffic delays, queue length, idle time, emissions, fuel consumption, which can be differentiated by user group. Originality. The results of the simulation of the proposed variant of transport service for traffic participants at the adjacent territory exit to main streets indicate its very high efficiency and the possibility of implementation even under conditions of a significant increase in the intensity of flows. Practical value. Using the traffic simulation model of adjacent territory exit to main streets developed in PTV VISSIM, which is based on the results of field observations of vehicle traffic, allows us to draw reasonable conclusions about improving the quality of transport service at the object selected for the study.
This article deals with solving topical issues of improving traffic effectiveness in major cities. The main traffic problem in major cities is a decrease in the throughput capacity of a street-road network and an increase in unpredictable travel time. The conducted study determined that the main reason for a decrease in the throughput capacity of a street-road network is the existence of traffic congestion modes and the formation of a "shock wave" with its spreading toward the oncoming traffic flow. To solve this problem, the dynamics of a change of parameters of a transport flow based on detection of the feature of the formation of a "shock wave" in a dense flow was simulated in the research. The analytical dependence on the rate of a density change under complicated traffic conditions on road sections makes it possible to determine the place of the "shock wave" formation to prevent its occurrence. The most common methods only affect the elimination of traffic congestions, which increases transport delays. To eliminate the congestion state on the open line of a street network, it was proposed to introduce dynamic traffic control. The feasibility of the above type of control is proved by simulating the impact of a change in the speed of traffic flow on its intensity. Theoretical models of traffic dynamics were developed for the street-road network section of the length of 1,500 m. The results of the simulating experiment on the urban open line that is 380 m long proved the adequacy of the model. The obtained results prove the possibility of decreasing intensity on the approach to congestion by reducing the speed of motion. This method of traffic control affects the end of a "shock wave", rather than its front to prevent congestion. The research results affect an increase in network throughput
Results of a study of an actual scientific and technical problem of determining the road safety level on road sections are presented in the paper. The aim of the study is to develop an express method for assessing road safety based on improving the method of the final accident rate by reducing the partial accident rate with the required accuracy of determining the safety level on public roads. The formalization of the relationship between the parameters of road traffic conditions has been carried out to study the level of safety on highways. Latent factors of the parameters of traffic conditions have been obtained on the basis of reduction of their aggregate by the method of principal components, taking into account the relationship of partial accident rates. This condition has allowed to develop analytical models for determining road safety for implementation in the practice of conducting a road safety audit. A method for identifying hazardous areas on highways has been proposed in the paper. It includes 11 parameters of road conditions out of 18 partial accident rates proposed in the prototype and regulatory documents of Ukraine. The adequacy of the model is determined by deviation values of the obtained data according to the prototype model from the values of the relative accident rate, which were 3.22 and 18.61, respectively. The proposed model reduces the deviation value by six times and affects the accuracy of determining the safety level. Experimental studies have been conducted on 79 km of highways (on 385 sectors with constant values of traffic conditions parameters). The results of a comparative analysis of the safety level for the prototype model and the developed model have been identical and shown a decrease in time and labor costs by 1.6 times without loss of accuracy. Thus, the developed methodology is recommended to be applied for determining the potential danger of road sections during an express analysis of the road safety or when conducting a safety audit at various stages of the road life cycle.
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
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.