scholarly journals Dynamic multi-objective optimization for mixed traffic flow based on partial least squares prediction model

2019 ◽  
Vol 13 ◽  
pp. 174830261987358
Author(s):  
Juan Chen ◽  
Zhengxuan Xue ◽  
Dongxiao Han
Keyword(s):  
Prediction Model ◽  
Evolutionary Algorithm ◽  
Least Squares ◽  
Traffic Flow ◽  
Partial Least Squares ◽  
Motor Vehicle ◽  
Motor Vehicles ◽  
Traffic Demand ◽  
Multi Objective ◽  
Vehicle Delay

A dynamic multi-objective genetic algorithm based on partial least squares prediction model (DNSGA-II-PLS) is presented in this paper to solve the mix traffic flow multi-objective timing optimization problem with time-varying traffic demand. Take motor vehicle delay, non-motor vehicle delay, and pedestrian delay as objectives to solve the problem. Make comparison with three improved dynamic multi-objective genetic algorithms based on prediction strategy: dynamic multi-objective evolutionary algorithm based on simple prediction (DNSGA-II-PREM), autonomous regression dynamic multi-objective evolutionary algorithm (DNSGA-II-AR), and mutation-based dynamic multi-objective evolutionary algorithm (DNSGA-II-MUT) under four kinds of test functions. The results show that compared with the other three algorithms, the DNSGA-II-PLS algorithm proposed in this paper shows better performance in convergence and distribution, and this algorithm has less complexity. Finally, taking the intersections of Taiping North Road and Zhujiang Road in Nanjing as the research object, the performance of the algorithm is tested under the simulation environment. The results show that compared with the DNSGA-II–AR, which has best performance among three compared algorithms, the proposed DNSGA-II-PLS algorithm can effectively reduce the delay of motor vehicles by 6.7%, non-motor vehicles by –2.8%, and pedestrian waiting time by 20.5%.

Based on Partial Least Squares Linear Regression and the Improved Grey Prediction Model of Monthly Load Forecasting in Power System Applications

2013 ◽  
Vol 827 ◽  
pp. 428-434 ◽  
Author(s):  
Zhi Jian Liu ◽  
Zhi Hua Yang ◽  
Rong Chen ◽  
Shu Ming Zhou
Keyword(s):  
Power System ◽  
Prediction Model ◽  
Least Squares ◽  
Partial Least Squares ◽  
Partial Least Squares Regression ◽  
Impact Factors ◽  
Least Squares Regression ◽  
Grey Prediction ◽  
Grey Prediction Model ◽  
Partial Least Squares Model

Aiming at monthly load of power system, it is forecasted by using the method of partial least squares regression and the model of improving grey prediction.First, using improved grey prediction model to forecast impact factors,then establishing partial least squares model according to the characteristics of the monthly load and the change of the main impact factors. The final fitted out a linear relation between load and impact factors. Practical example shows that the method has higher prediction accuracy, effectiveandfeasible.

scholarly journals Bilevel Programming for Traffic Signal Coordinated Control considering Pedestrian Crossing

2020 ◽  
Vol 2020 ◽  
pp. 1-18 ◽  
Author(s):  
Dawei Li ◽  
Yuchen Song ◽  
Qiong Chen
Keyword(s):  
Traffic Flow ◽  
Bilevel Programming ◽  
Motor Vehicle ◽  
Rapid Development ◽  
Coordinated Control ◽  
Traffic Signal ◽  
Motor Vehicles ◽  
Traffic Efficiency ◽  
Pedestrian Delays ◽  
Pedestrian Crossing

With the rapid development of the subway, more and more people choose it as the main method of transportation. However, practically, the large number of pedestrians near some large metro stations can also correspondingly affect the traffic of motor vehicles on the roads adjacent to the stations. In this study, coordinated control of the traffic signal which considers the pedestrian crossing delay is studied based on this background. Firstly, the model of progression band in adjacent intersections is analyzed comprehensively, and the calculation formulas of progression bandwidth and the delay of vehicles which are from the progression of traffic flow under different conditions are given. Secondly, five different models of pedestrian delay are analyzed. Under different conditions of motor vehicle and pedestrian traffic flow, the Vissim fitting and proofreading are carried out and the optimal models under different conditions are obtained. Finally, the bilevel programming problem which fuses the above two models is determined; by coding an algorithm, it can be resolved. Furthermore, taking eight signalized intersections from Jiming Temple to Daxinggong along Nanjing Metro Line 3 as the actual background, the calculation and optimization of coordinated control are carried out. It is found that at the expense of the traffic efficiency of large intersections to a certain extent, a wider progression band can be formulated on the roads between them, and pedestrian delays can be reduced in general.

Forecasting and Discussing of the Fouling Characteristic of the Plain Tube

2013 ◽  
Vol 668 ◽  
pp. 949-953 ◽  
Author(s):  
Xiao Qiang Wen ◽  
Zhi Ming Xu ◽  
Jian Guo Wang ◽  
Ling Fang Sun
Keyword(s):  
Prediction Model ◽  
Least Squares ◽  
Partial Least Squares ◽  
Partial Least Squares Regression ◽  
Experimental System ◽  
Outlet Temperature ◽  
Least Squares Regression ◽  
Plain Tube ◽  
The Impact ◽  
Fouling Characteristics

A fouling experimental system was built to measure the following parameters: wall temperatures, input and output temperature, etc. The model was set up based on the partial least-squares regression (PLS) to predict the fouling characteristics of the plain tube, in which there were five input vectors, which were the wall temperature, the inlet and outlet temperature and one output vectors, which was the fouling resistance. The prediction model was validated by the second operation cycle. By comparison of the predicted and experimental results, the maximal relative error of the model was in 8.5%, so, the partial least-squares regression algorithm of fouling model is reasonable and feasible. It provides an effective method for the design and operation personnel to anticipate the heat exchanger fouling characteristics under conditions of known water quality environmental parameters. The four-variable optimization model was obtained by analyzing the impact of each single independent variable on the prediction model, to increase the precision of the model. In addition, analysis of the impact of flow rate, etc. on the prediction model was also given.

scholarly journals Vehicle Delay Model Applied to Dynamic and Static Traffic Impact Analysis of Large Parking Lots

2021 ◽  
Vol 11 (20) ◽  
pp. 9771
Author(s):  
Liya Wang ◽  
Jun Chen ◽  
Xiaofeng Cao ◽  
Jian Chen ◽  
Chu Zhang
Keyword(s):  
Traffic Flow ◽  
Impact Analysis ◽  
Motor Vehicle ◽  
High Reliability ◽  
Model Parameters ◽  
Delay Model ◽  
Parking Lots ◽  
Delay Models ◽  
Parking Lot ◽  
Vehicle Delay

With the surge of motor vehicle ownership and land intensification, plenty of large parking lots emerge as the times demand. Although it solves the problem of insufficient parking spaces, it intensifies the interaction between dynamic and static traffic. This paper presented an impact assessment method for the interaction of dynamic and static traffic flow in parking lots. Firstly, the average vehicle delay was selected as the evaluation index. The delay effect caused by the interaction of dynamic and static traffic flow was determined according to the driving path of vehicles. Then, the average vehicle delay models of arrival vehicles, departure vehicles, and road vehicles in the parking lot were established. Finally, for the parameters difficult to determine directly in the delay model, this paper proposed a method to calibrate the model parameters by using the simulation experimental data on the VISSIM platform. The results showed that the errors of the three models are within the controllable range, and the delay model parameters had high reliability and feasibility. The delay models can provide a quantitative basis for the parking lot management department to formulate regulation strategies and realize more refined information guidance and navigation in the parking lot.

Sign in / Sign up

Export Citation Format

Share Document