Study on Transfer Traffic Volume Forecast of Weihai North Bus Station Based on TransCAD

2014 ◽  
Vol 1030-1032 ◽  
pp. 2126-2129
Author(s):  
Ye Zhang ◽  
Zhen Zhou Yuan
Keyword(s):  
Prospect Theory ◽  
Transportation Network ◽  
Forecast Model ◽  
Traffic Volume ◽  
Traffic Network ◽  
Od Estimation ◽  
Traffic Distribution ◽  
Transportation Projects ◽  
Bus Station ◽  
Network Gis

After new transportation projects putting into use,traffic volume within transportation network will inevitably transfer between different routes,this urges us to conduct transfer traffic volume forecast and project evaluation.The study forecast overall traffic volume of Weihai city in the future based on the platform of TransCAD,firstly establish traffic network GIS map,calibrate network attributes,and ascertain many parameters of traffic distribution model.Apply OD estimation to get reasonable OD matrix of Weihai city.Then use the transfer traffic volume forecast model based on prospect theory to forecast and analysis the transfer traffic volume from south bus station to north bus station.It confirmed the necessity of constructing north bus station.

Short-Term Traffic Volume Forecast Method Based On CNN-LSTM-At

2021 ◽  
Author(s):  
Xing Xu ◽  
Chengxing Liu ◽  
Yun Zhao ◽  
Xuyang Yu ◽  
Xiang Wu
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Forecast Model ◽  
Traffic Volume ◽  
Model Verification ◽  
Short Term ◽  
Time Step ◽  
Sequence Prediction ◽  
Traffic Flow Prediction ◽  
Flow Prediction

Abstract In order to tackle existing traffic flow prediction problem, a Traffic Volume Forecast Model based on deep learning is designed. The model implements Convolutional Neural Network (CNN) to extract spatial matrix information, uses long and short-term neural network (LSTM) for sequence prediction, appends attention mechanism to time step on LSTM, and assigns weights to different time steps. By implementing model verification on the Chengdu taxi dataset, dividing data into various categories, cross validating different categories of data, and comparing the model with other models, it is concluded that the CNN-LSTM-At network model proposed in this article has higher accuracy compared with traditional network model.

scholarly journals Discrete Robustness Optimization on Emergency Transportation Network Based on Prospect Theory

2019 ◽  
Vol 2019 ◽  
pp. 1-18 ◽  
Author(s):  
Zheng-kun Zhang ◽  
Chang-feng Zhu ◽  
Qing-rong Wang ◽  
Jia-shan Yuan
Keyword(s):  
Genetic Algorithm ◽  
Prospect Theory ◽  
Decision Maker ◽  
Transportation Network ◽  
Optimal Solution ◽  
Improved Genetic Algorithm ◽  
Decision Behavior ◽  
Bidirectional Search ◽  
Robustness Optimization

This paper focuses on the discrete robustness optimization of emergency transportation network with the consideration of timeliness and decision behavior of decision-maker under the limited rationality. Based on a situation that the nearer to disaster area, the higher probability of time delay, prospect theory is specially introduced to reflect the subjective decision behavior of decision-maker. Then, a discrete robustness optimization model is proposed with the purpose of the better timeliness and robustness. The model is based on the emergency transportation network with multistorage centers and multidisaster points. In order to obtain the optimal solution, an improved genetic algorithm is designed by introducing a bidirectional search strategy based on a newfangled path cluster to obtain specific paths that connect each storage centers and each disaster points. Finally, a case study is exhibited to demonstrate the reasonability of the model, theory, and algorithm. The result shows that the path cluster with the better timeliness and robustness can be well obtained by using the prospect theory and improved genetic algorithm. The analysis especially reveals that the robustness is correspondent to the risk aversion in prospect theory.

scholarly journals Optimizing locations of waste transfer stations in rural areas

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0250962
Author(s):  
Yulong Chen ◽  
Zhizhu Lai ◽  
Zheng Wang ◽  
Dongyang Yang ◽  
Leying Wu
Keyword(s):  
Facility Location ◽  
Rural Areas ◽  
Transportation Network ◽  
Traffic Network ◽  
Multi Objective ◽  
Transfer Station ◽  
Waste Transfer ◽  
Transfer Stations ◽  
The Impact ◽  
Population Center

Many studies have considered the location of rural waste transfer stations, but most have omitted the impact of transportation network conditions. Traffic accessibility must be considered in optimizing the location of rural waste transfer stations, which is an important difference from the location of rural waste transfer stations. On the basis of previous studies, this study will consider the impact of traffic network on the optimization locations of waste transfer station in the rural areas. The objective of this study was to ensure the minimum Euclidean distance between the waste transfer station and the population center is the maximum, minimize the garbage transportation cost of each population center, construction costs for waste transfer stations, construction and upgrade costs for roads on a traffic network. A multi-objective facility location-network design model and an improved multi-objective simulated annealing algorithm was used to solve the problem. A detailed practical case study was used to illustrate the application of the proposed mathematical model. The results show that transportation network plays an important role in facility location optimization, and the improvement of traffic network conditions can greatly reduce waste transportation costs.

Evaluation of Nodes Importance in of Highway Transportation Hubs Planning Based on Fuzzy-AHP

2012 ◽  
Vol 253-255 ◽  
pp. 1181-1187
Author(s):  
Shen E Xi
Keyword(s):  
Evaluation System ◽  
Fuzzy Ahp ◽  
Transportation Network ◽  
Network Planning ◽  
Traffic Volume ◽  
Shandong Province ◽  
Highway Traffic ◽  
Highway Transportation ◽  
Made In

Nodes importance evaluation is the element of transportation network planning. From the aspects of society and economy, highway traffic volume, traffic location, an evaluation system on nodes importance and traffic location of Highway Transportation Junction is established. For the accuracy of evaluation, Fuzzy-AHP is applied to calculate weight of each indicator as fuzziness is existed when factors are compared mutually. Besides, case study is made in Shandong Province, results demonstrate that it is scientific and feasible for planning of highway transportation hubs.

scholarly journals Economic, Social, and Ecological Impact Evaluation of Traffic Network in Beijing–Tianjin–Hebei Urban Agglomeration Based on the Entropy Weight TOPSIS Method

2021 ◽  
Vol 13 (4) ◽  
pp. 1862
Author(s):  
Liang Zhang ◽  
Xubing Zhang ◽  
Shenggu Yuan ◽  
Kai Wang
Keyword(s):  
Sustainable Development ◽  
Impact Assessment ◽  
Transportation Network ◽  
Rapid Development ◽  
Ecological Impact ◽  
Urban Agglomeration ◽  
Traffic Network ◽  
Entropy Weight ◽  
Annual Fluctuation ◽  
Handan City

In recent years, with the rapid development of urban transportation network in China, many problems have been exposed, especially in the Beijing–Tianjin–Hebei (BTH) region. Under the call of sustainable development, it is of great significance to evaluate the economic, social, and ecological (ESE) impact of transportation network in BTH urban agglomeration for promoting the sustainable development of transportation ESE in BTH urban agglomeration. In this paper, 12 indicators in the field of transportation are selected to build the evaluation index system of ESE effects of transportation network in BTH urban agglomeration. By using entropy weight TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) model and the Jenks natural breaks classification method, the ESE impacts of transportation network in 13 cities of BTH from 2013 to 2017 are analyzed from the temporal and spatial dimensions. The research shows that: (1) From 2013 to 2017, the economic impact degree of traffic network shows an annual fluctuation trend, the social impact degree increases year by year, and the ecological impact degree decreases year by year; (2) For the cities of BTH, the ESE impact assessment results of transportation network from 2013 to 2017 can be divided into seven clusters. Except Handan City, the ESE impact assessment categories of other cities’ transportation network have been improved, but the proportion of cities in the transition period is still large, especially the “Low-Low-Low” cities. The types of cities in the transitional period need to be focused. It is still a heavy burden to realize the ESE coordination and sustainable development of BTH urban agglomeration transportation network.

scholarly journals ANALYSIS OF ACCESSIBILITY OF URBAN ROADS BASED ON SPACE SYNTAX AND DISTANCE MEASUREMENT

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 159-165
Author(s):  
Z. G. Pan ◽  
G. W. Lan ◽  
D. L. Fan ◽  
Y. L. Du ◽  
Y. Zeng
Keyword(s):  
Measurement Method ◽  
Transportation Network ◽  
Space Syntax ◽  
Distance Measurement ◽  
Traffic Network ◽  
Economic Costs ◽  
Road Density ◽  
The Road ◽  
Traffic Conditions ◽  
High Road

Abstract. Space syntax and distance measurement are significant theoretical methods for studying road accessibility. Space syntax deals with the topological relationship between road networks, but the length of the road is ignored. While distance measurement method only takes into account the factors such as distance, time, and economic costs when studying road accessibility. Both of them are defective in evaluating the accessibility of transportation networks, and there are a few of researches that consider the interaction between road axes lines. In this paper a method for traffic network accessibility evaluation is proposed by combining the space syntax theory and the distance measurement method, and considering the influence of the interaction between road axes lines at the same time. The method is successfully applied for evaluating the traffic network accessibility of Nanning in Guangxi. The research shows that: (1) the results of the analysis are compared horizontally with traffic conditions at different times in Nanning City, and the experimental results are nearly in line with the actual road conditions. (2) The areas with high road density are Liangfeng District, Qingxiu District and Xixiangtang District. (3) Nanning City's road network center is located at the intersection of Xixiangtang District, Xingning District, Qingxiu District and Jiangnan District; its traffic network distribution is the densest and the overall level of urban road accessibility is higher. This study provides a theoretical basis for the development of Nanning's transportation network and has the reference significance for further optimizing the transportation planning in Nanning.

scholarly journals Analysis of the Passenger Flow Transfer Capacity of a Bus-Subway Transfer Hub in an Urban Multi-Mode Transportation Network

2020 ◽  
Vol 12 (6) ◽  
pp. 2435
Author(s):  
Yuwei Yang ◽  
Jun Chen ◽  
Zexingjian Du
Keyword(s):  
Transportation Network ◽  
Urban Traffic ◽  
Motor Vehicles ◽  
Traffic Network ◽  
Allocation Model ◽  
Passenger Flow ◽  
Transportation Capacity ◽  
Travel Efficiency ◽  
The Impact ◽  
Multi Mode

In the context of a rapid developing urban economy and the increasing number of motor vehicles, urban commuting transportation has witnessed a serious mismatch between the supply of and the demand for transportation network resources. In developing an urban multi-mode traffic network, using a urban traffic transfer hub to coordinate the transportation capabilities among different traffic networks is perceived to be highly effective for exploring the network transportation capacity of an entire transportation system, and improving travel efficiency and experiences for the public. Based on the super-network model, this paper develops a topological structure for a multi-mode traffic network, in which two typical combined travel modes are selected to establish the path impedance function for that network. Moreover, the multi-mode traffic allocation model and the solving algorithm are constructed in the research. The paper studies the impact of two types of factors related to the transfer capacity of passenger flows based on the regular traffic network of a bus-and-subway transfer hub using a sensitivity analysis of the transfer time and the associated penalty. The findings suggest that both changes in transfer walking time and the transfer penalty have no significant effect on the bus passenger flow.

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