The calibration of driving behavior parameters in the traffic simulation model for pavement formed by different aggregate mixtures is of crucial significance in ensuring the effectiveness of traffic simulation evaluation results for various asphalt pavement. This study first examines different aggregate asphalt mixtures as asphalt pavement materials through experiments. Subsequently, using queue length as the evaluation indicator, a sensitivity analysis is conducted based on VISSIM traffic simulation software to identify the set of sensitive parameter set data among the driving behavior parameters for asphalt pavement under study. The study then uses the traffic simulation model to determine the value of the driving behavior parameter set that result in the smallest error rate between simulated queue length and measured queue length on asphalt pavement. This completes the calibration of driving behavior parameters for the studied asphalt pavement in the traffic simulation model. Finally, the proposed method is validated through real-world case studies. This study proposes a feasible parameter calibration method for traffic simulation scenarios of asphalt pavement formed by different gradations of asphalt mixtures. At the same time, it establishes the foundation for optimizing and controlling intersection signals for corresponding asphalt pavement.
KEYWORDS: Roads, Design and modelling, Mathematical optimization, Signal processing, Safety, Signal attenuation, Reflection, Transportation, Time metrology, Sun
With the rapid development of China’s cities, the traffic load of urban roads has become more and more serious, and traffic congestion has become a major problem affecting the urban life. Intersection is an important node of urban traffic, and the imbalance of road load is one of the key factors leading to frequent intersection congestion. The article takes the intersection of Wuhu Road and Ningguo Road in Hefei City as an example, this paper analyzes the problems caused by unbalanced road load, proposes three optimization schemes based on the method of multi-dimensional collaborative optimization, and uses VISSIM to establish the simulation model before and after optimization, and compares the simulation results with the current situation. The results show that: for the optimization of the intersection with unbalanced traffic load. The multi-dimensional collaborative optimization method is superior to the single dimension optimization method.
Aggregate shape, angularity and surface texture are closely related to pavement performance of asphalt mixture. In order to quantitatively analyze the morphological characteristics of aggregates, the aggregate particle image was obtained by "backlight scanning method", and then noise removal, segmentation and hole filling are performed on the acquired image based on digital image processing technique. On the basis of above mentioned, a two-dimensional aggregate morphological characteristics evaluation system (AMCES) with low equipment requirements was developed. The shape property of aggregates were characterized by shape index (SI) and form factor (FF), and the angularity property and surface texture of aggregates were evaluated by angularity index (AI) and texture factor (TF) respectively. Finally, the morphological characteristics of 12 different standard shaped objects and limestone with 4 different sizes were analyzed. The test results show that the four evaluation parameters can describe the morphological characteristics of aggregate particles well. With the increase of particle size, the shape index decreases, the value of the form factor get closer and closer to 1, while the angularity index and texture factor both decrease gradually.
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