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Wei Yu
College of Automobile and Traffic Engineering, Nanjing Forestry University, Longpan Road 159#, Nanjing 210037, China

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Journal article
Published: 17 August 2020 in International Journal of Environmental Research and Public Health
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With the strengthening of environmental awareness, the government pays much more attention to environmental protection and thus implements carbon trading schemes to promote the reduction of global carbon dioxide emissions. The carbon Generalized System of Preferences (GSP) is an incentive mechanism for citizens to value their energy conservation and carbon reduction. Individual travel needs to rely on various means of transportation, resulting in energy consumption. Carbon tax or subsidy can only be carried out after carbon GSP accurately measures individual carbon emissions. The big data acquired from the smart cards of passengers’ travels provide the possibility for carbon emission accounting of individual travel. This research proposes a carbon emission measurement of individual travel. Through establishing the network model of the Nanjing metro with a complex method, the shortest path of the passengers’ travels is obtained. Combined with the origination–destination (OD) records of the smart cards, the total distance of the passengers’ travels is obtained. By selecting the operation table to estimate the carbon emissions generated by the daily operation of the subway system, the carbon emissions per kilometer or per time of passenger travel are finally obtained. With the accurate tracking of carbon emissions for individual travel, the government may establish a comprehensive monitoring system so as to establish a carbon tax and carbon supplement mechanism for citizens.

ACS Style

Wei Yu; Tao Wang; Yujie Xiao; Jun Chen; Xingchen Yan. A Carbon Emission Measurement Method for Individual Travel Based on Transportation Big Data: The Case of Nanjing Metro. International Journal of Environmental Research and Public Health 2020, 17, 5957 .

AMA Style

Wei Yu, Tao Wang, Yujie Xiao, Jun Chen, Xingchen Yan. A Carbon Emission Measurement Method for Individual Travel Based on Transportation Big Data: The Case of Nanjing Metro. International Journal of Environmental Research and Public Health. 2020; 17 (16):5957.

Chicago/Turabian Style

Wei Yu; Tao Wang; Yujie Xiao; Jun Chen; Xingchen Yan. 2020. "A Carbon Emission Measurement Method for Individual Travel Based on Transportation Big Data: The Case of Nanjing Metro." International Journal of Environmental Research and Public Health 17, no. 16: 5957.

Journal article
Published: 04 February 2020 in Sustainability
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The information level of the urban public transport system is constantly improving, which promotes the use of smart cards by passengers. The OD (origination–destination) travel time of passengers reflects the temporal and spatial distribution of passenger flow. It is helpful to improve the flow efficiency of passengers and the sustainable development of the city. It is an urgent problem to select appropriate indexes to evaluate OD travel time and analyze the correlation of these indexes. More than one million OD records are generated by the AFC (Auto Fare Collection) system of Nanjing metro every day. A complex network method is proposed to evaluate and analyze OD travel time. Five working days swiping data of Nanjing metro are selected. Firstly, inappropriate data are filtered through data preprocessing. Then, the OD travel time indexes can be divided into three categories: time index, complex network index, and composite index. Time index includes use time probability, passenger flow between stations, average time between stations, and time variance between stations. The complex network index is based on two models: Space P and ride time, including the minimum number of rides, and the shortest ride time. Composite indicators include inter site flow efficiency and network flow efficiency. Based on the complex network model, this research quantitatively analyzes the Pearson correlation of the indexes of OD travel time. This research can be applied to other public transport modes in combination with big data of public smart cards. This will improve the flow efficiency of passengers and optimize the layout of the subway network and urban space.

ACS Style

Wei Yu; Xiaofei Ye; Jun Chen; Xingchen Yan; Tao Wang. Evaluation Indexes and Correlation Analysis of Origination–Destination Travel Time of Nanjing Metro Based on Complex Network Method. Sustainability 2020, 12, 1113 .

AMA Style

Wei Yu, Xiaofei Ye, Jun Chen, Xingchen Yan, Tao Wang. Evaluation Indexes and Correlation Analysis of Origination–Destination Travel Time of Nanjing Metro Based on Complex Network Method. Sustainability. 2020; 12 (3):1113.

Chicago/Turabian Style

Wei Yu; Xiaofei Ye; Jun Chen; Xingchen Yan; Tao Wang. 2020. "Evaluation Indexes and Correlation Analysis of Origination–Destination Travel Time of Nanjing Metro Based on Complex Network Method." Sustainability 12, no. 3: 1113.

Journal article
Published: 25 September 2019 in IEEE Access
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Urban metro alleviates traffic pressure and also faces safety management problems. The metro AFC (Automatic Fare Collection System) records the OD (Origin-Destination) data of passengers’ daily trips. Many researches often neglect the pretreatment of data cleaning based on smart card data. Anomaly OD records also reflect the safety problems. How to use OD to identify anomalous data and passengers’ anomalous behavior is a research hotspot of metro big data. OD data of Nanjing metro were analyzed, and standard data cleaning processes were proposed including inbound records until the day before yesterday, inbound records of next days, negative records and overtime records. Then, using the data after cleaning, we analyze long-time records, short-time records, inbound and outbound records between the same stations, the swiping card records of more times, and carry out analysis. One day is chosen as an example to illustrate the analysis process, and then the OD records of several days are compared to summarize the classification of OD anomalies. Through analysis, OD anomalies can be classified into two categories: system anomalies and passenger behavior anomalies. System anomalies can be eliminated by upgrading. Abnormal passenger behavior reflects some potential safety problems. This research can effectively identify the abnormal behavior of passengers by tracking and comparing the appearing frequency of passenger cards. OD anomaly classification can be further refined, so that it has more practical value, can improve the level of metro safety management.

ACS Style

Wei Yu; Hua Bai; Jun Chen; Xingchen Yan. Anomaly Detection of Passenger OD on Nanjing Metro Based on Smart Card Big Data. IEEE Access 2019, 7, 138624 -138636.

AMA Style

Wei Yu, Hua Bai, Jun Chen, Xingchen Yan. Anomaly Detection of Passenger OD on Nanjing Metro Based on Smart Card Big Data. IEEE Access. 2019; 7 (99):138624-138636.

Chicago/Turabian Style

Wei Yu; Hua Bai; Jun Chen; Xingchen Yan. 2019. "Anomaly Detection of Passenger OD on Nanjing Metro Based on Smart Card Big Data." IEEE Access 7, no. 99: 138624-138636.

Journal article
Published: 12 September 2019 in Sustainability
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The rapid development of cities has brought new challenges and opportunities to traditional traffic management. The usage of smart cards promotes the upgrading of intelligent transportation systems, and also produces considerable big data. As an important part of the urban comprehensive transportation system, Nanjing metro has more than 1 million inbound and outbound records of traffic smart cards used by residents every day. How to process these traffic data and present them visually is an urgent problem in modern traffic management. In this study, five working days with normal weather conditions in Nanjing were selected, and the swiping records of the smart cards were extracted, and the space–time characteristics were analyzed. In terms of time analysis, this research analyzed the 24-h fluctuation of daily average passenger flow, peak hour coefficient of passenger flow, 24-h fluctuation of passenger flow on different metro lines, passenger flow intensity on different metro lines and passenger flow comparison at different stations. In spatial analysis, this study uses thermodynamic charts to represent the inflow and outflow of passengers at different stations during early and evening peak periods. The analysis results and visualized images directly reflect the area where Nanjing metro congestion is located, and also shows the commuting characteristics of residents. It can solve the problem of urban congestion, carry out the rational layout of urban functional areas, and promote the sustainable development of people and cities.

ACS Style

Wei Yu; Hua Bai; Jun Chen; Xingchen Yan. Analysis of Space-Time Variation of Passenger Flow and Commuting Characteristics of Residents Using Smart Card Data of Nanjing Metro. Sustainability 2019, 11, 4989 .

AMA Style

Wei Yu, Hua Bai, Jun Chen, Xingchen Yan. Analysis of Space-Time Variation of Passenger Flow and Commuting Characteristics of Residents Using Smart Card Data of Nanjing Metro. Sustainability. 2019; 11 (18):4989.

Chicago/Turabian Style

Wei Yu; Hua Bai; Jun Chen; Xingchen Yan. 2019. "Analysis of Space-Time Variation of Passenger Flow and Commuting Characteristics of Residents Using Smart Card Data of Nanjing Metro." Sustainability 11, no. 18: 4989.

Journal article
Published: 20 May 2019 in IEEE Access
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Metro plays an important role in an urban public transport system. With the use of metro lines, the increasing flow of people has brought tremendous pressure to the operation of metro lines, resulting in different faults, thus affecting the travel of residents. How to qualitatively evaluate the robustness of the metro network after encountering faults is a problem worthy of attention. By 2018, ten metro lines have been opened in Nanjing, forming a radiation structure from the urban center to the surrounding suburbs. In this study, the metro faults in Nanjing in the past three years are counted and classified. The space L and space P models for the metro network are constructed. The robustness of a Nanjing metro network is measured by the three indicators: network connectivity efficiency, largest connected subgraph size, and average subgraph size. The concept of supernetwork is proposed, and the metro line is considered as a whole. The robustness changes of the Nanjing metro network caused by the attacks on the nodes and hyperedges of the metro network are analyzed. The results show that deliberate attack causes more damage than a random attack. When traffic hub stations and trunk lines are attacked, the performance of the metro network will decline sharply. The research conclusion has certain practical value to enhance the anti-fault ability of the metro network.

ACS Style

Wei Yu; Tao Wang; Yan Zheng; Jun Chen. Parameter Selection and Evaluation of Robustness of Nanjing Metro Network Based on Supernetwork. IEEE Access 2019, 7, 70876 -70890.

AMA Style

Wei Yu, Tao Wang, Yan Zheng, Jun Chen. Parameter Selection and Evaluation of Robustness of Nanjing Metro Network Based on Supernetwork. IEEE Access. 2019; 7 ():70876-70890.

Chicago/Turabian Style

Wei Yu; Tao Wang; Yan Zheng; Jun Chen. 2019. "Parameter Selection and Evaluation of Robustness of Nanjing Metro Network Based on Supernetwork." IEEE Access 7, no. : 70876-70890.

Journal article
Published: 19 January 2019 in Sustainability
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Many cities in China have opened a subway, which has become an important part of urban public transport. How the metro line forms the metro network, and then changes the urban traffic pattern, is a problem worthy of attention. From 2005 to 2018, 10 metro lines were opened in Nanjing, which provides important reference data for the study of the spatial and temporal evolution of the Metro network. In this study, using the complex network method, according to the opening sequence of 10 metro lines in Nanjing, space L and space P models are established, respectively. In view of the evolution of metro network parameters, four parameters—network density, network centrality, network clustering coefficient, and network average distance—are proposed for evaluation. In view of the spatial structure change of the metro network, this study combines the concept of node degree in a complex network, analyzes the starting point, terminal point, and intersection point of metro line, and puts forward the concepts of star structure and ring structure. The analysis of the space‒time evolution of Nanjing metro network shows that with the gradual opening of metro lines, the metro network presents a more complex structure; the line connection tends to important nodes, and gradually outlines the city’s commercial space pattern.

ACS Style

Wei Yu; Jun Chen; Xingchen Yan. Space‒Time Evolution Analysis of the Nanjing Metro Network Based on a Complex Network. Sustainability 2019, 11, 523 .

AMA Style

Wei Yu, Jun Chen, Xingchen Yan. Space‒Time Evolution Analysis of the Nanjing Metro Network Based on a Complex Network. Sustainability. 2019; 11 (2):523.

Chicago/Turabian Style

Wei Yu; Jun Chen; Xingchen Yan. 2019. "Space‒Time Evolution Analysis of the Nanjing Metro Network Based on a Complex Network." Sustainability 11, no. 2: 523.

Research article
Published: 02 December 2018 in Complexity
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In recent years, many researchers have applied complex network theory to urban public transport network to construct complex network and analyze its network performance. The original analysis method generally uses the Space L and Space R model to establish a simple link between public sites but ignores the organic link between the overall network system and the line subsystem. As an important part of urban public transport system, subway plays an important role in alleviating traffic pressure. In this paper, a supernetwork model of Nanjing metro network is established by using the supernetwork method. Three parameters, node-hyperedge degree, hyperedge-node degree, and hyperedge degree, are proposed to describe the model. The model is compared with the traditional Space L and Space P models. The study on the supernetwork model of Nanjing metro complex network shows that the network density, network centrality, and network clustering coefficient are large, and the average network distance is small, which meets the requirements of traffic planning and design. In this study, the subway line is considered as a subsystem and further simplified as a node, so that the complex network analysis method can be applied to the new supernetwork model, expanding the thinking of complex network research.

ACS Style

Yu Wei; Sun Ning. Establishment and Analysis of the Supernetwork Model for Nanjing Metro Transportation System. Complexity 2018, 2018, 1 -11.

AMA Style

Yu Wei, Sun Ning. Establishment and Analysis of the Supernetwork Model for Nanjing Metro Transportation System. Complexity. 2018; 2018 ():1-11.

Chicago/Turabian Style

Yu Wei; Sun Ning. 2018. "Establishment and Analysis of the Supernetwork Model for Nanjing Metro Transportation System." Complexity 2018, no. : 1-11.

Research article
Published: 02 August 2016 in Journal of Sensors
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Due to the different functions of the system used in the vehicle chassis control, the hierarchical control strategy also leads to many kinds of the network topology structure. According to the hierarchical control principle, this research puts forward the integrated control strategy of the chassis based on supervision mechanism. The purpose is to consider how the integrated control architecture affects the control performance of the system after the intervention of CAN network. Based on the principle of hierarchical control and fuzzy control, a fuzzy controller is designed, which is used to monitor and coordinate the ESP, AFS, and ARS. And the IVC system is constructed with the upper supervisory controller and three subcontrol systems on the Simulink platform. The network topology structure of IVC is proposed, and the IVC communication matrix based on CAN network communication is designed. With the common sensors and the subcontrollers as the CAN network independent nodes, the network induced delay and packet loss rate on the system control performance are studied by simulation. The results show that the simulation method can be used for designing the communication network of the vehicle.

ACS Style

Wei Yu; Ning Sun. Design and Simulation Analysis for Integrated Vehicle Chassis-Network Control System Based on CAN Network. Journal of Sensors 2016, 2016, 1 -9.

AMA Style

Wei Yu, Ning Sun. Design and Simulation Analysis for Integrated Vehicle Chassis-Network Control System Based on CAN Network. Journal of Sensors. 2016; 2016 ():1-9.

Chicago/Turabian Style

Wei Yu; Ning Sun. 2016. "Design and Simulation Analysis for Integrated Vehicle Chassis-Network Control System Based on CAN Network." Journal of Sensors 2016, no. : 1-9.