Discovering Congested Routes Using Vehicle Trajectories in Road Networks
The popular route recommendation and traffic monitoring over the road networks have become important in the location-based services. The schemes to find out the congested routes were proposed by considering the number of vehicles in a road segment. However, the existing schemes do not consider the f...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
|
| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2015/420689 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832545610231709696 |
|---|---|
| author | Kyoung Soo Bok He Li Jong Tae Lim Jae Soo Yoo |
| author_facet | Kyoung Soo Bok He Li Jong Tae Lim Jae Soo Yoo |
| author_sort | Kyoung Soo Bok |
| collection | DOAJ |
| description | The popular route recommendation and traffic monitoring over the road networks have become important in the location-based services. The schemes to find out the congested routes were proposed by considering the number of vehicles in a road segment. However, the existing schemes do not consider the features of each road segment such as width, length, and direction in a road network. Furthermore, the existing schemes fail to consider the average moving speed of vehicles. Therefore, they can detect the incorrect density routes. To overcome such problems, we propose a new discovering scheme of congested routes through the analysis of vehicle trajectories in a road network. The proposed scheme divides each road into segments with different width and length in a road network. And then, the congested road segment is detected through the saturation degree of the road segment and the average moving speed of vehicles in the road segment. Finally, we compute the final congested routes by using a clustering scheme. The experimental results have shown that the proposed scheme can efficiently discover the congested routes in the different directions of the roads. |
| format | Article |
| id | doaj-art-e6cd3f82152d4b82bc78ee57c58b3c8f |
| institution | Kabale University |
| issn | 1687-5680 1687-5699 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-e6cd3f82152d4b82bc78ee57c58b3c8f2025-02-03T07:25:17ZengWileyAdvances in Multimedia1687-56801687-56992015-01-01201510.1155/2015/420689420689Discovering Congested Routes Using Vehicle Trajectories in Road NetworksKyoung Soo Bok0He Li1Jong Tae Lim2Jae Soo Yoo3School of Information and Communication Engineering, Chungbuk National University, 52 Naesudong-ro, Chungbuk, Seowon-Gu, Cheongju 362-763, Republic of KoreaSchool of Software, Xidian University, No. 2 South Taibai Road, Xi’an City, Shaanxi 710071, ChinaSchool of Information and Communication Engineering, Chungbuk National University, 52 Naesudong-ro, Chungbuk, Seowon-Gu, Cheongju 362-763, Republic of KoreaSchool of Information and Communication Engineering, Chungbuk National University, 52 Naesudong-ro, Chungbuk, Seowon-Gu, Cheongju 362-763, Republic of KoreaThe popular route recommendation and traffic monitoring over the road networks have become important in the location-based services. The schemes to find out the congested routes were proposed by considering the number of vehicles in a road segment. However, the existing schemes do not consider the features of each road segment such as width, length, and direction in a road network. Furthermore, the existing schemes fail to consider the average moving speed of vehicles. Therefore, they can detect the incorrect density routes. To overcome such problems, we propose a new discovering scheme of congested routes through the analysis of vehicle trajectories in a road network. The proposed scheme divides each road into segments with different width and length in a road network. And then, the congested road segment is detected through the saturation degree of the road segment and the average moving speed of vehicles in the road segment. Finally, we compute the final congested routes by using a clustering scheme. The experimental results have shown that the proposed scheme can efficiently discover the congested routes in the different directions of the roads.http://dx.doi.org/10.1155/2015/420689 |
| spellingShingle | Kyoung Soo Bok He Li Jong Tae Lim Jae Soo Yoo Discovering Congested Routes Using Vehicle Trajectories in Road Networks Advances in Multimedia |
| title | Discovering Congested Routes Using Vehicle Trajectories in Road Networks |
| title_full | Discovering Congested Routes Using Vehicle Trajectories in Road Networks |
| title_fullStr | Discovering Congested Routes Using Vehicle Trajectories in Road Networks |
| title_full_unstemmed | Discovering Congested Routes Using Vehicle Trajectories in Road Networks |
| title_short | Discovering Congested Routes Using Vehicle Trajectories in Road Networks |
| title_sort | discovering congested routes using vehicle trajectories in road networks |
| url | http://dx.doi.org/10.1155/2015/420689 |
| work_keys_str_mv | AT kyoungsoobok discoveringcongestedroutesusingvehicletrajectoriesinroadnetworks AT heli discoveringcongestedroutesusingvehicletrajectoriesinroadnetworks AT jongtaelim discoveringcongestedroutesusingvehicletrajectoriesinroadnetworks AT jaesooyoo discoveringcongestedroutesusingvehicletrajectoriesinroadnetworks |