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Ghosh, Indrajit
- Assessment of Level of Service for Urban Signalized Intersections in India
Abstract Views :261 |
PDF Views:81
Authors
Affiliations
1 Department of Civil Engineering, National Institute of Technology, Hamirpur 177 005, IN
2 CSIR-Central Road Research Institute, New Delhi 110 002, IN
3 Department of Civil Engineering, Indian Institute of Technology- Roorkee, Roorkee 247 667, IN
1 Department of Civil Engineering, National Institute of Technology, Hamirpur 177 005, IN
2 CSIR-Central Road Research Institute, New Delhi 110 002, IN
3 Department of Civil Engineering, Indian Institute of Technology- Roorkee, Roorkee 247 667, IN
Source
Current Science, Vol 117, No 9 (2019), Pagination: 1516-1521Abstract
Significant work on level of service (LOS) has been conducted around the globe over the last two decades. However, till date, no guidelines exist for LOS of signalized intersections in India. The present study attempts to introduce LOS criteria for signalized intersection under mixed traffic condition. Thirteen intersections from four different cities of India were chosen for this study. Delay at intersections (which is the backbone for deriving LOS) is estimated using the area estimation method (according to HCM 2010). Clustering technique (to be specific, K-mean clustering) has been used to classify six clusters of delay corresponding to six different LOS and arrive at a LOS criteria. Silhouette method has been employed to validate the proposed delay clusters. The silhouette indices obtained justify the proposed delay ranges corresponding to the clusters and indicate the possible implementation of the proposed LOS for rating the performance of signalized intersections of India.Keywords
Area Estimation Method, LOS, K-Mean Clustering, Signalized Intersection, User Perception Survey.Full Text
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- Reliability Modelling on Drivers’ Decision during the Yellow Phase of a Signal Intersection
Abstract Views :181 |
PDF Views:78
Authors
Affiliations
1 Department of Civil Engineering, National Institute of Technology, Jamshedpur 832 014, IN
2 Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee 247 667, IN
1 Department of Civil Engineering, National Institute of Technology, Jamshedpur 832 014, IN
2 Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee 247 667, IN
Source
Current Science, Vol 118, No 4 (2020), Pagination: 654-661Abstract
During the yellow phase starts of a traffic signal, the drivers are unable to take quick decisions whether to stop or cross the signal-controlled intersection. This dilemma zone (DZ) can cause a mix-up among drivers during the yellow phase and may lead to accidents. In the present study we use a DZ prediction model for analysis. In this study, approach speed, acceleration/ deceleration of different vehicle categories, distance to stop line, offset of yellow time, and presence or absence of countdown timer are considered as the main factors influencing the model. In order to address several drawbacks associated with traditional regressionbased models, a kriging-based surrogate model has been developed to explore the drivers’ behaviour during the yellow phase.Keywords
Dilemma Zone, Kriging Model, Traffic Intersection, Yellow Phase Drivers.Full Text
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