A Hybrid Traffic Sensor Deployment Model with Communication Consideration for Highways
This paper mainly studies the deployment of hybrid sensors on highways. By constructing the deployment location constraint model, the overall accuracy of sensor deployment can be maximized. In addition, in order to meet the needs of intelligent transportation, the consideration of traffic data commu...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-01-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/14/2/536 |
| _version_ | 1797340223385894912 |
|---|---|
| author | Xing Tong Ming Li Zhichao Cui |
| author_facet | Xing Tong Ming Li Zhichao Cui |
| author_sort | Xing Tong |
| collection | DOAJ |
| description | This paper mainly studies the deployment of hybrid sensors on highways. By constructing the deployment location constraint model, the overall accuracy of sensor deployment can be maximized. In addition, in order to meet the needs of intelligent transportation, the consideration of traffic data communication is added to the work. The highway under study is first divided into several units, and the combination type of sensors is used to represent the possible layout of two adjacent sensors. Then, a 0–1 optimization model reflecting the interaction between the sensor position and the server position is established. Then, a two-step search algorithm is proposed to find the optimal solution of the model and determine the deployment scheme with maximum accuracy. Finally, an example is given to verify the method. The results show that there are significant differences between uniform unit-deployment schemes and non-uniform unit-deployment schemes. Through the sensitivity analysis of each factor, the influence of budget and communication radius on the deployment plan is proven. In addition, the ramp length can also have a negative impact on the target value. |
| first_indexed | 2024-03-08T09:58:52Z |
| format | Article |
| id | doaj.art-81f39df5f34547cba63e00b21db90083 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-08T09:58:52Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-81f39df5f34547cba63e00b21db900832024-01-29T13:42:31ZengMDPI AGApplied Sciences2076-34172024-01-0114253610.3390/app14020536A Hybrid Traffic Sensor Deployment Model with Communication Consideration for HighwaysXing Tong0Ming Li1Zhichao Cui2School of Information Engineering, Chang’an University, Middle-Section of Nan’er Huan Road, Xi’an 710064, ChinaSchool of Transportation Engineering, Shandong Jianzhu University, No. 1000 Fengming Road, Lingang Development Zone, Jinan 250101, ChinaSchool of Electronics and Control Engineering, Chang’an University, Middle-Section of Nan’er Huan Road, Xi’an 710064, ChinaThis paper mainly studies the deployment of hybrid sensors on highways. By constructing the deployment location constraint model, the overall accuracy of sensor deployment can be maximized. In addition, in order to meet the needs of intelligent transportation, the consideration of traffic data communication is added to the work. The highway under study is first divided into several units, and the combination type of sensors is used to represent the possible layout of two adjacent sensors. Then, a 0–1 optimization model reflecting the interaction between the sensor position and the server position is established. Then, a two-step search algorithm is proposed to find the optimal solution of the model and determine the deployment scheme with maximum accuracy. Finally, an example is given to verify the method. The results show that there are significant differences between uniform unit-deployment schemes and non-uniform unit-deployment schemes. Through the sensitivity analysis of each factor, the influence of budget and communication radius on the deployment plan is proven. In addition, the ramp length can also have a negative impact on the target value.https://www.mdpi.com/2076-3417/14/2/536hybrid sensorshighwaydeploymentcommunication |
| spellingShingle | Xing Tong Ming Li Zhichao Cui A Hybrid Traffic Sensor Deployment Model with Communication Consideration for Highways Applied Sciences hybrid sensors highway deployment communication |
| title | A Hybrid Traffic Sensor Deployment Model with Communication Consideration for Highways |
| title_full | A Hybrid Traffic Sensor Deployment Model with Communication Consideration for Highways |
| title_fullStr | A Hybrid Traffic Sensor Deployment Model with Communication Consideration for Highways |
| title_full_unstemmed | A Hybrid Traffic Sensor Deployment Model with Communication Consideration for Highways |
| title_short | A Hybrid Traffic Sensor Deployment Model with Communication Consideration for Highways |
| title_sort | hybrid traffic sensor deployment model with communication consideration for highways |
| topic | hybrid sensors highway deployment communication |
| url | https://www.mdpi.com/2076-3417/14/2/536 |
| work_keys_str_mv | AT xingtong ahybridtrafficsensordeploymentmodelwithcommunicationconsiderationforhighways AT mingli ahybridtrafficsensordeploymentmodelwithcommunicationconsiderationforhighways AT zhichaocui ahybridtrafficsensordeploymentmodelwithcommunicationconsiderationforhighways AT xingtong hybridtrafficsensordeploymentmodelwithcommunicationconsiderationforhighways AT mingli hybridtrafficsensordeploymentmodelwithcommunicationconsiderationforhighways AT zhichaocui hybridtrafficsensordeploymentmodelwithcommunicationconsiderationforhighways |