Development of a Model for Heterogeneous Traffic Simulation
Cellular automata (CA) being a simple and powerful analytical tool has been used in the present study for the analysis of heterogeneous traffic. Heterogeneous traffic comprises different types of vehicles having a wide range of static and dynamic characteristics. Moreover, the driving pattern in developing countries is without lane discipline. These factors added together make the analysis of heterogeneous traffic a cumbersome task. Hence, CA being a simple tool is used to analyse complex scenario. The concept of actual gap and perceived gap and movement according to perceived gap are proposed in the present study. It can be observed from the results that with the introduction of heterogeneity, the capacity value reduces drastically. Moreover, the introduction of slow moving vehicles reduces the stream speed to a great extent. The proposed model is validated using the flow and density data obtained from field.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9789813290419
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Supplemental Notes:
- © Springer Nature Singapore Pte Ltd. 2020.
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Corporate Authors:
Springer Singapore
152 Beach Road
Singapore, 189721 -
Authors:
- Das, Amit Kumar
- Biswal, Manoj Kumar
- Chattaraj, Ujjal
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Conference:
- 4th Conference of Transportation Research Group of India (CTRG 2017)
- Location: Mumbai , India
- Date: 2017-12-17 to 2017-12-20
- Publication Date: 2019-10
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 699-706
- Monograph Title: Transportation Research: Proceedings of CTRG 2017
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Serial:
- Lecture Notes in Civil Engineering
- Volume: 45
- Publisher: Springer Singapore
- ISSN: 2366-2557
- EISSN: 2366-2565
- Serial URL: https://www.springer.com/series/15087
Subject/Index Terms
- TRT Terms: Cellular automata; Developing countries; Gap acceptance; Traffic simulation; Vehicle mix
- Subject Areas: Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01902445
- Record Type: Publication
- ISBN: 9789813290419
- Files: TRIS
- Created Date: Dec 16 2023 4:54PM