Analysis of Multi-Path Scheduling Network Model for Intelligent Transportation
In the field of intelligent transportation, vehicle scheduling is a complex issue with multi-path, multi-types of vehicles and multi-destination. In this process, some time-varying attributes and dynamic indicators have a direct impact on the scheduling process and result. A scheduling network model...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2014-11-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.11.009/ |
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| _version_ | 1841529439349899264 |
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| author | Weiyang Qin |
| author_facet | Weiyang Qin |
| author_sort | Weiyang Qin |
| collection | DOAJ |
| description | In the field of intelligent transportation, vehicle scheduling is a complex issue with multi-path, multi-types of vehicles and multi-destination. In this process, some time-varying attributes and dynamic indicators have a direct impact on the scheduling process and result. A scheduling network model, with multi-path, multi-types of vehicles, multi-destination and dynamic factors was proposed. The new modeling elements, virtual node and virtual path, were used for mathematical description and graphical expression of vehicle scheduling network model. Priority-based scheduling network was presented, and the validity of the model was verified. |
| format | Article |
| id | doaj-art-81ff1223d18e4208bcce6c0b40c9cc82 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2014-11-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-81ff1223d18e4208bcce6c0b40c9cc822025-01-15T03:18:02ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012014-11-0130505559617421Analysis of Multi-Path Scheduling Network Model for Intelligent TransportationWeiyang QinIn the field of intelligent transportation, vehicle scheduling is a complex issue with multi-path, multi-types of vehicles and multi-destination. In this process, some time-varying attributes and dynamic indicators have a direct impact on the scheduling process and result. A scheduling network model, with multi-path, multi-types of vehicles, multi-destination and dynamic factors was proposed. The new modeling elements, virtual node and virtual path, were used for mathematical description and graphical expression of vehicle scheduling network model. Priority-based scheduling network was presented, and the validity of the model was verified.http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.11.009/intelligent transportationvehicle schedulingnetwork modelhierarchical network |
| spellingShingle | Weiyang Qin Analysis of Multi-Path Scheduling Network Model for Intelligent Transportation Dianxin kexue intelligent transportation vehicle scheduling network model hierarchical network |
| title | Analysis of Multi-Path Scheduling Network Model for Intelligent Transportation |
| title_full | Analysis of Multi-Path Scheduling Network Model for Intelligent Transportation |
| title_fullStr | Analysis of Multi-Path Scheduling Network Model for Intelligent Transportation |
| title_full_unstemmed | Analysis of Multi-Path Scheduling Network Model for Intelligent Transportation |
| title_short | Analysis of Multi-Path Scheduling Network Model for Intelligent Transportation |
| title_sort | analysis of multi path scheduling network model for intelligent transportation |
| topic | intelligent transportation vehicle scheduling network model hierarchical network |
| url | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.11.009/ |
| work_keys_str_mv | AT weiyangqin analysisofmultipathschedulingnetworkmodelforintelligenttransportation |