Optimal Signal Control Design for Isolated Intersections Using Sample Travel-Time Data
Increased travel times are often observed on urban roads, with signalized intersections being the major bottlenecks. The inability of existing static signal timings in accommodating the actual demand fluctuations could be one of the contributing factors. A traffic-responsive signal control system th...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/7310250 |
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| _version_ | 1850233785864421376 |
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| author | HimaBindu Maripini Lelitha Vanajakshi Bhargava Rama Chilukuri |
| author_facet | HimaBindu Maripini Lelitha Vanajakshi Bhargava Rama Chilukuri |
| author_sort | HimaBindu Maripini |
| collection | DOAJ |
| description | Increased travel times are often observed on urban roads, with signalized intersections being the major bottlenecks. The inability of existing static signal timings in accommodating the actual demand fluctuations could be one of the contributing factors. A traffic-responsive signal control system that changes signal timings according to traffic volume fluctuations may alleviate this problem. However, such problems are conventionally formulated based on the data collected from location-based sensors, which are infrastructure intensive and costly and fail to capture mixed and disordered traffic conditions. Considering these limitations, this paper presents an optimal signal design using sample travel time information collected from mobile data sources such as GPS/Bluetooth/Wi-Fi sensors that work independently of the traffic conditions and are relatively cost-effective. The proposed adaptive signal design minimizes total intersection delay at isolated intersections for every cycle based on the traffic conditions observed in the previous cycle. The mathematical programming-based formulation uses shock waves formed during the red and green phases to estimate optimal-phase durations. Results revealed that the proposed design is capable of handling traffic flow fluctuations without requiring the entire traffic stream data. The system demonstrated that sample data from four probe vehicles per phase is adequate for real-time optimal signal design. Results showed that the proposed model outperformed the existing Webster’s signal design procedure with a delay reduction of 11.78% when compared theoretically and 10.41% when implemented in VISSIM. |
| format | Article |
| id | doaj-art-079fdcd361bf4a60aef17fb5c79304e4 |
| institution | OA Journals |
| issn | 2042-3195 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-079fdcd361bf4a60aef17fb5c79304e42025-08-20T02:02:50ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/7310250Optimal Signal Control Design for Isolated Intersections Using Sample Travel-Time DataHimaBindu Maripini0Lelitha Vanajakshi1Bhargava Rama Chilukuri2Department of Civil EngineeringDepartment of Civil EngineeringDepartment of Civil EngineeringIncreased travel times are often observed on urban roads, with signalized intersections being the major bottlenecks. The inability of existing static signal timings in accommodating the actual demand fluctuations could be one of the contributing factors. A traffic-responsive signal control system that changes signal timings according to traffic volume fluctuations may alleviate this problem. However, such problems are conventionally formulated based on the data collected from location-based sensors, which are infrastructure intensive and costly and fail to capture mixed and disordered traffic conditions. Considering these limitations, this paper presents an optimal signal design using sample travel time information collected from mobile data sources such as GPS/Bluetooth/Wi-Fi sensors that work independently of the traffic conditions and are relatively cost-effective. The proposed adaptive signal design minimizes total intersection delay at isolated intersections for every cycle based on the traffic conditions observed in the previous cycle. The mathematical programming-based formulation uses shock waves formed during the red and green phases to estimate optimal-phase durations. Results revealed that the proposed design is capable of handling traffic flow fluctuations without requiring the entire traffic stream data. The system demonstrated that sample data from four probe vehicles per phase is adequate for real-time optimal signal design. Results showed that the proposed model outperformed the existing Webster’s signal design procedure with a delay reduction of 11.78% when compared theoretically and 10.41% when implemented in VISSIM.http://dx.doi.org/10.1155/2022/7310250 |
| spellingShingle | HimaBindu Maripini Lelitha Vanajakshi Bhargava Rama Chilukuri Optimal Signal Control Design for Isolated Intersections Using Sample Travel-Time Data Journal of Advanced Transportation |
| title | Optimal Signal Control Design for Isolated Intersections Using Sample Travel-Time Data |
| title_full | Optimal Signal Control Design for Isolated Intersections Using Sample Travel-Time Data |
| title_fullStr | Optimal Signal Control Design for Isolated Intersections Using Sample Travel-Time Data |
| title_full_unstemmed | Optimal Signal Control Design for Isolated Intersections Using Sample Travel-Time Data |
| title_short | Optimal Signal Control Design for Isolated Intersections Using Sample Travel-Time Data |
| title_sort | optimal signal control design for isolated intersections using sample travel time data |
| url | http://dx.doi.org/10.1155/2022/7310250 |
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