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.

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.

Identifying critical links in urban traffic networks: a partial network scan algorithm

Kybernetes ◽  
2016 ◽  
Vol 45 (6) ◽  
pp. 915-930 ◽  
Author(s):  
Xinfeng Yang ◽  
Lanfen Liu ◽  
Yinzhen Li ◽  
Ruichun He
Keyword(s):  
Risk Taking ◽  
Urban Traffic ◽  
Traffic Network ◽  
Traffic Networks ◽  
Content Type ◽  
Impact Area ◽  
Critical Links ◽  
Risk Taking Behavior ◽  
The Impact ◽  
Critical Link

Purpose – Critical links in traffic networks are those who should be better protected because their removal has a significant impact on the whole network. So, the purpose of this paper is to identify the critical links of traffic networks. Design/methodology/approach – This paper proposes the definition of the critical link for an urban traffic network and establishes mathematical model for determining critical link considering the travellers’ heterogeneous risk-taking behavior. Moreover, in order to improve the computational efficiency, the impact area of a link is quantified, a partial network scan algorithm for identifying the critical link based on the impact area is put forward and the efficient paths-based assignment algorithm is adopted. Findings – The proposed algorithm can significantly reduce the search space for determining the most critical links in traffic network. Numerical results also demonstrate that the structure of efficient paths has significant impact on identifying the critical links. Originality/value – This paper identifies the critical links by using a bi-level programming approach and proposes a partial network scan algorithm for identifying critical links accounting for travellers’ heterogeneous risk-taking behavior.

scholarly journals The Impact of Traffic Crashes on Urban Network Traffic Flow

2019 ◽  
Vol 11 (14) ◽  
pp. 3956 ◽  
Author(s):  
Junwei Zeng ◽  
Yongsheng Qian ◽  
Bingbing Wang ◽  
Tingjuan Wang ◽  
Xuting Wei
Keyword(s):  
Traffic Flow ◽  
Network Traffic ◽  
Network Flow ◽  
Time Distribution ◽  
Urban Traffic ◽  
Extended Model ◽  
Traffic Network ◽  
Traffic Crashes ◽  
Urban Network ◽  
The Impact

This paper aims to investigate the impact of occasional traffic crashes on the urban traffic network flow. Toward this purpose, an extended model of coupled Nagel–Schreckenberg (NaSch) and Biham–Middleton–Levine (BML) models is presented. This extended model not only improves the initial conditions of the coupled models, but also gives the definition of traffic crashes and their spatial/time distribution. Further, we simulated the impact of the number of traffic crashes, their time distribution, and their spatial distribution on urban network traffic flow. This research contributes to the comprehensive understanding of the operational state of urban network traffic flow after traffic crashes, towards mastering the causes and propagation rules of traffic congestion. This work also a theoretical guidance value for the optimization of urban traffic network flow and the prevention and release of traffic crashes.

scholarly journals Adaptive Multilevel Collaborative Passenger Flow Control in Peak Hours for a Subway Line

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hongjiao Xue ◽  
Limin Jia ◽  
Jianyuan Guo
Keyword(s):  
Flow Control ◽  
Waiting Time ◽  
Large Scale ◽  
Programming Model ◽  
Control Level ◽  
Passenger Flow ◽  
Passenger Demand ◽  
Transportation Capacity ◽  
Travel Efficiency ◽  
Necessary Constraints

Due to contradiction of large-scale passenger demand and limited transportation capacity, the passengers who cannot be transported away in time accumulate and congest in stations. To ensure travel safety, improve travel efficiency, and ameliorate waiting environments for passengers, this paper proposes an adaptive multilevel collaborative passenger flow control strategy integrating the control of station entrance and station hall. An integer linear programming model is constructed, which aims at minimizing the total passenger waiting time and taking the safe capacity of each key area of all stations as the necessary constraints. The model is applied in two scenarios with different scales of passenger demand in the morning peak of the Batong line. The results show that the proposed model can adaptively activate the appropriate control level, limit the amount of accumulated passengers in each key area of the station within its safe capacity, and shorten the total passenger waiting time.

scholarly journals Optimizing Locations of Primary Schools in Rural Areas of China

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Yulong Chen
Keyword(s):  
Travel Time ◽  
Rural Areas ◽  
Primary Schools ◽  
Simulated Annealing Algorithm ◽  
Programming Model ◽  
Transportation Network ◽  
Mixed Integer ◽  
Practical Case ◽  
Traffic Network ◽  
The Impact

Scientific location selection of schools is an important way to optimize the allocation of educational resources, improve the efficiency of operating schools, and realize the balanced development of education, especially in rural areas. Many studies have considered the location of schools, but most have omitted the impact of transportation network conditions and the time cost differences caused by different travel speeds under different road conditions. The object of this study is to minimize the total transportation costs for students, construction costs for new schools, and the construction and upgrading costs for roads on a traffic network with travel time uncertainty indicated by different travel time scenarios. A mixed-integer programming model for this problem was proposed. Furthermore, a hybrid simulated annealing algorithm was used to solve the problem. Finally, a practical case study was used to illustrate the application of the proposed mathematical model. The results showed that the traffic network has an important influence on the optimization location of rural schools, and the improvement of traffic network conditions can greatly reduce the time required for students to travel to school.

scholarly journals Analysis of Macroscopic Traffic Network Impacted by Structural Damage to Bridges from Earthquakes

2021 ◽  
Vol 11 (7) ◽  
pp. 3226
Author(s):  
Joongmin Cho ◽  
Young-Joo Lee ◽  
Seongkwan Mark Lee ◽  
Ki Han Song ◽  
Wonho Suh
Keyword(s):  
Travel Time ◽  
Structural Damage ◽  
Transportation Network ◽  
Travel Speed ◽  
Urban Traffic ◽  
Total System ◽  
Emergency Situations ◽  
Capacity Loss ◽  
Traffic Capacity ◽  
The Impact

Highway systems play a key role in providing mobility to society, especially during emergency situations, including earthquakes. Bridges in highway systems are susceptible to damage from earthquakes, causing traffic capacity loss leading to a serious impact on surrounding areas. To better prepare for such scenarios, it is important to estimate capacity loss and traffic disruptions from earthquakes. For this purpose, a traffic-capacity-analysisbased methodology was developed to model the performance of a transportation network immediately following an earthquake using a macroscopic multi-level urban traffic planning simulation model EMME4. This method employs the second order linear approximation (SOLA) traffic assignment and calculates total system travel time for various capacity loss scenarios due to bridge damage from earthquakes. It has been applied to Pohang City in Korea to evaluate the performance of traffic networks in various situations. The results indicate a significant increase in travel time and a decrease in travel speed as the intensity of an earthquake increases. However, the impact on traffic volume varies depending on the bridges. It is assumed that the location of the bridges and traffic routing patterns might be the main reason. The results are expected to help estimate the impact on transportation networks when earthquakes cause traffic capacity loss on bridges.

The impact of subway operation on urban traffic: A GRA-BNs based study

2021 ◽  
pp. 1-16
Author(s):  
Lixin Yan ◽  
Tao Zeng ◽  
Yubing Xiong ◽  
Zhenyun Li ◽  
Qingmei Liu
Keyword(s):  
Bayesian Networks ◽  
Operating Characteristic ◽  
Urban Traffic ◽  
Relational Analysis ◽  
Traffic Security ◽  
Structural Network ◽  
Random Decision Forest ◽  
Roc Area ◽  
Grey Relational ◽  
The Impact

With the development of urbanization, urban traffic has exposed many problems. To study the subway’s influence on urban traffic, this paper collects data on traffic indicators in Nanchang from 2008 to 2018. The research is carried out from three aspects: traffic accessibility, green traffic, and traffic security. First, Grey Relational Analysis is used to select 18 traffic indicators correlated with the subway from 22 traffic indicators. Second, the data is discretized and learned based on Bayesian Networks to construct the structural network of the subway’s influence. Third, to verify the reliability of using GRA and the effectiveness of Bayesian Networks (GRA-BNs), Bayesian Networks with full indicators analysis and other four algorithms (Naive Bayes, Random Decision Forest, Logistic and regression) are employed for comparison. Moreover, the receiver operating characteristic (ROC) area, true positive (TP) rate, false positive (FP) rate, precision, recall, F-measure, and accuracy are utilized for comparing each situation. The result shows that GRA-BNs is the most effective model to study the impact of the subway’s operation on urban traffic. Then, the dependence relations between the subway and each index are analyzed by the conditional probability tables (CPTs). Finally, according to the analysis, some suggestions are put forward.

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