Urban Headway Frequency Distribution Model and Analysis Based on Dividing Traffic Flow Conditions

CICTP 2019 ◽  
2019 ◽  
Author(s):  
Hongwei Li ◽  
Yunyue Zhou ◽  
Sulan Li ◽  
Changjiang Zheng

The traffic flow conditions in developing countries are predominantly heterogeneous. The early developed traffic flow models have been derived from fluid flow to capture the behavior of the traffic. The very first two-equation model derived from fluid flow is known as the Payne-Whitham or PW Model. Along with the traffic flow, this model also captures the traffic acceleration. However, the PW model adopts a constant driver behavior which cannot be ignored, especially in the situation of heterogeneous traffic.This research focuses on testing the PW model and its suitability for heterogeneous traffic conditions by observing the model response to a bottleneck on a circular road. The PW model is mathematically approximated using the Roe Decomposition and then the performance of the model is observed using simulations.


2020 ◽  
Vol 55 (4) ◽  
pp. 555-566
Author(s):  
Ewin Sánchez ◽  
Pedro Vega-Jorquera

2020 ◽  
Vol 31 (15) ◽  
pp. 1751-1762
Author(s):  
Yangyang Zhang ◽  
He Zhang ◽  
Chaofeng Lü ◽  
Yisheng Chen ◽  
Ji Wang

Many laboratory tests and in situ measurements have been conducted to study piezoelectric energy harvesting from roadway deformation. However, the performance of piezoelectric energy harvesters under real traffic flow conditions is still unknown. In this study, an electromechanical model of piezoelectric energy harvesters with detailed parameters (including the geometric parameters, material parameters, and circuits) is established, and the influences of traffic flow conditions (i.e. traffic speed and traffic density) on the output power of piezoelectric energy harvesters are analyzed by employing a scaling law method and traffic flow theory. The results indicate that remarkable differences exist in the load patterns and the frequencies between the laboratory tests (or in situ measurements) and real traffic flow conditions. Because of these differences, the results (especially the output electric power and optimization design methods) of previous studies may be inapplicable for piezoelectric energy harvesters embedded in roadways. Considering the distinguishing features of the traffic load pattern, the optimization criteria to determine the geometric parameters and the intrinsic system parameter of piezoelectric energy harvesters are obtained, and the corresponding optimal output power densities of the piezoelectric energy harvesters are also quantitatively calibrated. These theoretical results may serve as guidelines for optimizing the design of piezoelectric energy harvesters embedded in roadways under different traffic flow conditions.


2019 ◽  
Vol 11 (3) ◽  
pp. 665 ◽  
Author(s):  
Lingzhi Wang ◽  
Jun Liu ◽  
Fucai Qian

This study introduces and analyses existing models of wind speed frequency distribution in wind farms, such as the Weibull distribution model, the Rayleigh distribution model, and the lognormal distribution model. Inspired by the shortcomings of these models, we propose a distribution model based on an exponential polynomial, which can describe the actual wind speed frequency distribution. The fitting error of other common distribution models is too large at zero or low wind speeds. The proposed model can solve this problem. The exponential polynomial distribution model can fit multimodal distribution wind speed data as well as unimodal distribution wind speed data. We used the linear-least-squares method to acquire the parameters for the distribution model. Finally, we carried out contrast simulation experiments to validate the effectiveness and advantages of the proposed distribution model.


1984 ◽  
Vol 21 (1) ◽  
pp. 89-99 ◽  
Author(s):  
Roland T. Rust ◽  
Robert P. Leone

Increasing awareness of the qualitative differences between television and magazine advertisements and the resulting inference that a response to a television ad is much different from a response to a magazine ad suggest the appropriateness of a model which jointly evaluates an advertising schedule including both television and magazines. The mixed-media Dirichlet multinomial distribution model proposed estimates the joint frequency distribution of exposure of such a mixed-media advertising schedule and evaluates response under a variety of alternative theoretical assumptions. An empirical test is performed to evaluate the accuracy of the model, and the model's performance is compared with that of models with different theoretical assumptions. The results have important implications for media planning, with a strong case being made for coordinated planning of the television and magazine advertising schedules.


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