The Relationship Between Traffic Flow Forecasting and Traffic Accident Forecasting and the Possible Combination Points
This paper mainly studies the relationship between traffic flow forecasting and traffic accident forecasting and the possible combination points. Firstly, through the introduction of the background, the necessity of combining the two is analyzed. Secondly, the differences between neural networks and...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_01006.pdf |
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| _version_ | 1825206578768248832 |
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| author | Wu Haoyu |
| author_facet | Wu Haoyu |
| author_sort | Wu Haoyu |
| collection | DOAJ |
| description | This paper mainly studies the relationship between traffic flow forecasting and traffic accident forecasting and the possible combination points. Firstly, through the introduction of the background, the necessity of combining the two is analyzed. Secondly, the differences between neural networks and traditional machine learning are compared in terms of model structure, feature extraction, applicability, computational resources and time, and model complexity'. This paper emphasizes the importance of neural networks for traffic flow forecasting and traffic accident forecasting and introduces the commonly used neural networks. Then, the concept of temporal and spatial characteristics in traffic data is expounded, which opens the relationship between traffic flow forecasting and traffic accident forecasting and the analysis of possible combination points. Through the analysis of the existing research, it is found that the relationship between the two is mainly divided mto data complementarity, common goal, and common method, and the possible combination points of the two are analyzed and prospected. Finally, the data and methods of improving traffic flow forecasting are summarized, which is conducive to better traffic flow forecasting and the combination of the two. |
| format | Article |
| id | doaj-art-956627a206b54dd3982c2c72ea049a17 |
| institution | Kabale University |
| issn | 2271-2097 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj-art-956627a206b54dd3982c2c72ea049a172025-02-07T08:21:10ZengEDP SciencesITM Web of Conferences2271-20972025-01-01700100610.1051/itmconf/20257001006itmconf_dai2024_01006The Relationship Between Traffic Flow Forecasting and Traffic Accident Forecasting and the Possible Combination PointsWu Haoyu0Department of Civil And Environmental Engineering, Hong Kong Polytechnic UniversityThis paper mainly studies the relationship between traffic flow forecasting and traffic accident forecasting and the possible combination points. Firstly, through the introduction of the background, the necessity of combining the two is analyzed. Secondly, the differences between neural networks and traditional machine learning are compared in terms of model structure, feature extraction, applicability, computational resources and time, and model complexity'. This paper emphasizes the importance of neural networks for traffic flow forecasting and traffic accident forecasting and introduces the commonly used neural networks. Then, the concept of temporal and spatial characteristics in traffic data is expounded, which opens the relationship between traffic flow forecasting and traffic accident forecasting and the analysis of possible combination points. Through the analysis of the existing research, it is found that the relationship between the two is mainly divided mto data complementarity, common goal, and common method, and the possible combination points of the two are analyzed and prospected. Finally, the data and methods of improving traffic flow forecasting are summarized, which is conducive to better traffic flow forecasting and the combination of the two.https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_01006.pdf |
| spellingShingle | Wu Haoyu The Relationship Between Traffic Flow Forecasting and Traffic Accident Forecasting and the Possible Combination Points ITM Web of Conferences |
| title | The Relationship Between Traffic Flow Forecasting and Traffic Accident Forecasting and the Possible Combination Points |
| title_full | The Relationship Between Traffic Flow Forecasting and Traffic Accident Forecasting and the Possible Combination Points |
| title_fullStr | The Relationship Between Traffic Flow Forecasting and Traffic Accident Forecasting and the Possible Combination Points |
| title_full_unstemmed | The Relationship Between Traffic Flow Forecasting and Traffic Accident Forecasting and the Possible Combination Points |
| title_short | The Relationship Between Traffic Flow Forecasting and Traffic Accident Forecasting and the Possible Combination Points |
| title_sort | relationship between traffic flow forecasting and traffic accident forecasting and the possible combination points |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_01006.pdf |
| work_keys_str_mv | AT wuhaoyu therelationshipbetweentrafficflowforecastingandtrafficaccidentforecastingandthepossiblecombinationpoints AT wuhaoyu relationshipbetweentrafficflowforecastingandtrafficaccidentforecastingandthepossiblecombinationpoints |