A survey of research on demand responsive transit and its route optimization
With the widespread application of new infrastructure and other technologies, demand responsive transit (DRT) is becoming the trend of urban traffic development in the future.In order to further clarify the research status of DRT at home and abroad, firstly, the classification of DRT and the operati...
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| Format: | Article |
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POSTS&TELECOM PRESS Co., LTD
2021-06-01
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| Series: | 智能科学与技术学报 |
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| Online Access: | http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.202116 |
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| _version_ | 1846171114682712064 |
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| author | Shuai FENG Xiaoming LIU |
| author_facet | Shuai FENG Xiaoming LIU |
| author_sort | Shuai FENG |
| collection | DOAJ |
| description | With the widespread application of new infrastructure and other technologies, demand responsive transit (DRT) is becoming the trend of urban traffic development in the future.In order to further clarify the research status of DRT at home and abroad, firstly, the classification of DRT and the operational production factors were analyzed.Secondly, the production process and operation practice of DRT mode were described.Thirdly, the DRT optimization problem was summarized and analyzed from the three dimensions including optimization objectives, constraint selection and solving algorithm, especially the meta heuristic algorithm.Finally, the prospect of DRT scenarios, model construction, algorithm solution, and the collaborative optimization were proposed.Several hotspots and possible directions of future research were suggested. |
| format | Article |
| id | doaj-art-5a80cad5990e472d98f4cfb2bc441649 |
| institution | Kabale University |
| issn | 2096-6652 |
| language | zho |
| publishDate | 2021-06-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 智能科学与技术学报 |
| spelling | doaj-art-5a80cad5990e472d98f4cfb2bc4416492024-11-11T06:52:37ZzhoPOSTS&TELECOM PRESS Co., LTD智能科学与技术学报2096-66522021-06-01316117159639571A survey of research on demand responsive transit and its route optimizationShuai FENGXiaoming LIUWith the widespread application of new infrastructure and other technologies, demand responsive transit (DRT) is becoming the trend of urban traffic development in the future.In order to further clarify the research status of DRT at home and abroad, firstly, the classification of DRT and the operational production factors were analyzed.Secondly, the production process and operation practice of DRT mode were described.Thirdly, the DRT optimization problem was summarized and analyzed from the three dimensions including optimization objectives, constraint selection and solving algorithm, especially the meta heuristic algorithm.Finally, the prospect of DRT scenarios, model construction, algorithm solution, and the collaborative optimization were proposed.Several hotspots and possible directions of future research were suggested.http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.202116public transport;demand responsive transit;route optimization;solving algorithm |
| spellingShingle | Shuai FENG Xiaoming LIU A survey of research on demand responsive transit and its route optimization 智能科学与技术学报 public transport;demand responsive transit;route optimization;solving algorithm |
| title | A survey of research on demand responsive transit and its route optimization |
| title_full | A survey of research on demand responsive transit and its route optimization |
| title_fullStr | A survey of research on demand responsive transit and its route optimization |
| title_full_unstemmed | A survey of research on demand responsive transit and its route optimization |
| title_short | A survey of research on demand responsive transit and its route optimization |
| title_sort | survey of research on demand responsive transit and its route optimization |
| topic | public transport;demand responsive transit;route optimization;solving algorithm |
| url | http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.202116 |
| work_keys_str_mv | AT shuaifeng asurveyofresearchondemandresponsivetransitanditsrouteoptimization AT xiaomingliu asurveyofresearchondemandresponsivetransitanditsrouteoptimization AT shuaifeng surveyofresearchondemandresponsivetransitanditsrouteoptimization AT xiaomingliu surveyofresearchondemandresponsivetransitanditsrouteoptimization |