Coordinated Development of Urban Intelligent Transportation Data System and Supply Chain Management
With the development of the urban economy, the number of people using various means of transportation is also increasing, resulting in a huge workload of the traffic data system and prone to errors. Supply chain management can formulate a reasonable production plan according to the comprehensive inf...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/6308728 |
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| _version_ | 1832553537853194240 |
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| author | Qian Chen |
| author_facet | Qian Chen |
| author_sort | Qian Chen |
| collection | DOAJ |
| description | With the development of the urban economy, the number of people using various means of transportation is also increasing, resulting in a huge workload of the traffic data system and prone to errors. Supply chain management can formulate a reasonable production plan according to the comprehensive information data generated by the supply chain management system, such as market demand analysis, purchasing demand analysis, and supplier assessment and evaluation. Therefore, this paper proposes the coordinated development of urban intelligent transportation data system and supply chain management, so as to improve the overall efficiency of the logistics system and the level of customer service. This paper aims to study the importance and advantages of the coordinated development of urban intelligent transportation data system and supply chain management. As can be seen from the data in Table 2, the percentage of people using a car increased by 18.2% in 2015, and by 2020, the percentage of people using a car increased by 36.9%. As shown in Figure 10, the traditional urban traffic data management system has the disadvantages of large amount of data and various and complex data types. Among them, the percentage of large amount of data is between 70% and 75%, and the percentage of diverse and complex data is between 62% and 68%. It can be seen that the number of people using cars is increasing, resulting in an increasing workload for the transportation system. On this basis, the intelligent traffic data system should be used to solve this problem and the coordinated development of the intelligent traffic data system and supply chain management can achieve a win-win situation. |
| format | Article |
| id | doaj-art-43209b81457744bf8d0b1637c672c60f |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-43209b81457744bf8d0b1637c672c60f2025-02-03T05:53:49ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/6308728Coordinated Development of Urban Intelligent Transportation Data System and Supply Chain ManagementQian Chen0School of Logistics Management and EngineeringWith the development of the urban economy, the number of people using various means of transportation is also increasing, resulting in a huge workload of the traffic data system and prone to errors. Supply chain management can formulate a reasonable production plan according to the comprehensive information data generated by the supply chain management system, such as market demand analysis, purchasing demand analysis, and supplier assessment and evaluation. Therefore, this paper proposes the coordinated development of urban intelligent transportation data system and supply chain management, so as to improve the overall efficiency of the logistics system and the level of customer service. This paper aims to study the importance and advantages of the coordinated development of urban intelligent transportation data system and supply chain management. As can be seen from the data in Table 2, the percentage of people using a car increased by 18.2% in 2015, and by 2020, the percentage of people using a car increased by 36.9%. As shown in Figure 10, the traditional urban traffic data management system has the disadvantages of large amount of data and various and complex data types. Among them, the percentage of large amount of data is between 70% and 75%, and the percentage of diverse and complex data is between 62% and 68%. It can be seen that the number of people using cars is increasing, resulting in an increasing workload for the transportation system. On this basis, the intelligent traffic data system should be used to solve this problem and the coordinated development of the intelligent traffic data system and supply chain management can achieve a win-win situation.http://dx.doi.org/10.1155/2022/6308728 |
| spellingShingle | Qian Chen Coordinated Development of Urban Intelligent Transportation Data System and Supply Chain Management Journal of Advanced Transportation |
| title | Coordinated Development of Urban Intelligent Transportation Data System and Supply Chain Management |
| title_full | Coordinated Development of Urban Intelligent Transportation Data System and Supply Chain Management |
| title_fullStr | Coordinated Development of Urban Intelligent Transportation Data System and Supply Chain Management |
| title_full_unstemmed | Coordinated Development of Urban Intelligent Transportation Data System and Supply Chain Management |
| title_short | Coordinated Development of Urban Intelligent Transportation Data System and Supply Chain Management |
| title_sort | coordinated development of urban intelligent transportation data system and supply chain management |
| url | http://dx.doi.org/10.1155/2022/6308728 |
| work_keys_str_mv | AT qianchen coordinateddevelopmentofurbanintelligenttransportationdatasystemandsupplychainmanagement |