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Kumar, Pallav
- Traffic Data Analysis Using Image Processing Technique on Delhi-Gurgaon Expressway
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Authors
Affiliations
1 Civil Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat 395 007, IN
2 Civil Engineering Department, Indian Institute of Technology, Guwahati 781 039, IN
1 Civil Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat 395 007, IN
2 Civil Engineering Department, Indian Institute of Technology, Guwahati 781 039, IN
Source
Current Science, Vol 110, No 5 (2016), Pagination: 808-822Abstract
With the advancements in video image processing system (VIPS), detection mechanism has made a significant improvement over traditional methods for traffic data analysis. Traffic on Delhi-Gurgaon expressway is heterogeneous in nature with non-lane based behaviour. Moreover, automation and instrumentation are also not implemented. In view of this, TRaffic AnalyZer and EnumeratoR (TRAZER), a VIPS was used to process video-captured data on Delhi-Gurgaon expressway to check accuracy based on traffic count, speed and lateral placement. The motivation behind using TRAZER is to evaluate its efficiency and robustness for extracting micro and macro-level traffic parameters under heterogeneous traffic conditions. To achieve this, data were extracted manually on above parameters and compared with those obtained from TRAZER. The volume count data from TRAZER generated a lesser accuracy of 60% detection under heavy traffic conditions, using default parameters. Thus, refinements were carried out in the software as part of calibration: (i) redefining maximum and minimum detection widths for each vehicle category, and (ii) selecting the optimum trap length for reducing the occlusion effect, which increased the detection percentage as well as reduced the error. After implementing these refinements, 80% of the vehicles were detected. Further, relationships between vehicle speed and its lateral placement from median across road width, at a given point were also developed. The models were developed for both aggregate (considering all vehicles) and disaggregate (vehicle category-wise) levels. The polynomial relationship was found to be best fitted function to estimate vehicle speed based on its lateral placement.Keywords
Lateral Placement, Speed, TRAZER, Video Image Processing System.- Examining Traffic Flow Parameters at Merging Section on High-Speed Urban Roads in India
Abstract Views :264 |
PDF Views:99
Authors
Affiliations
1 Civil Engineering Department, Muzaffarpur Institute of Technology, Muzaffarpur 842 003, IN
2 Civil Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat 395 007, IN
1 Civil Engineering Department, Muzaffarpur Institute of Technology, Muzaffarpur 842 003, IN
2 Civil Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat 395 007, IN
Source
Current Science, Vol 117, No 1 (2019), Pagination: 94-103Abstract
This study analyses micro-level and macro-level traffic parameters at merging location on high-speed urban roads in India. For this purpose, representative merging section was selected on Delhi–Gurgaon expressway. Speeds on different lanes at merging section were found to gradually decrease from median side lane to lane closer to merging point. At low and moderate flow conditions, most of the vehicles avoid moving in lanes closer to merging point in the main traffic stream. This is done to reduce the crash as well as to avoid competing for the same road space. Speed versus flow relationship developed for basic roadway section and merging section shows the difference in capacity by almost 8% due to merging operation. Moreover, stream speed at the merging is found to be the function of main stream flow and entry flow. The findings from the study would be useful in operational analysis of merging sections on high-speed urban roads in India.Keywords
Heterogeneous Traffic, Merging Section, Time Headway, Speed Distribution, Speed-flow Relationship.References
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