A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Unsignalized Intersection Capacity Estimation Through Traffic Rule Re-adjustments Using Agent-Based Cellular Automata Simulations
https://orcid.org/http://orcid.org/0000-0003-0352-5614
https://orcid.org/http://orcid.org/0000-0003-1415-365X
https://orcid.org/http://orcid.org/0000-0003-1619-7103
Priority and sign-controlled intersections under heterogeneous and mixed traffic conditions behave in an uncontrolled manner with drivers and other road users neglecting right-of-way and priority rules. Microscopic traffic flow simulation is an effective way to explain such complex vehicular interactions without much effort and cost in shortage of specific video-image data. This research aims at enhancing potential capacity of priority-controlled (unsignalized in nature) intersections using grid-based cellular automata (GBCA) models in context of agent-based computer simulations. The grid-based cellular automata (GBCA) model proposed considers three-dimensional visualizations of road objects like links, nodes, connectors with vehicles in OpenGL environment inside the NetLogo and Java platform. Twenty-three unsignalized (both four-legged and three-legged) intersection traffic and geometric data collected from different regions of India have been utilized to create the GBCA models. Various intersection dimensions with several vehicle types and maximum velocities are considered for validating the proposed GBCA model. Four uncontrolled intersection vehicle entering and leaving rules based on virtual priority abstract of Indian driving behaviour are also included as traffic operating scenarios within the proposed GBCA model simulation framework in NetLogo. Findings from the study suggests sign and priority-controlled intersections in India need re-modification in terms of driver turning rules. According to the GBCA simulations in NetLogo and Java, the fourth traffic rule re-modification proposed in this study helps reduce service delays by 17% but increases potential intersection capacity by 20% at priority-controlled intersections. The average potential capacities for right turning traffic as obtained from the proposed model are 2478 vehicles/h/lane and 1289 vehicles/h/lane for major and minor roads, respectively, which showed perfect correlations with field estimated gap acceptance capacities.
Unsignalized Intersection Capacity Estimation Through Traffic Rule Re-adjustments Using Agent-Based Cellular Automata Simulations
https://orcid.org/http://orcid.org/0000-0003-0352-5614
https://orcid.org/http://orcid.org/0000-0003-1415-365X
https://orcid.org/http://orcid.org/0000-0003-1619-7103
Priority and sign-controlled intersections under heterogeneous and mixed traffic conditions behave in an uncontrolled manner with drivers and other road users neglecting right-of-way and priority rules. Microscopic traffic flow simulation is an effective way to explain such complex vehicular interactions without much effort and cost in shortage of specific video-image data. This research aims at enhancing potential capacity of priority-controlled (unsignalized in nature) intersections using grid-based cellular automata (GBCA) models in context of agent-based computer simulations. The grid-based cellular automata (GBCA) model proposed considers three-dimensional visualizations of road objects like links, nodes, connectors with vehicles in OpenGL environment inside the NetLogo and Java platform. Twenty-three unsignalized (both four-legged and three-legged) intersection traffic and geometric data collected from different regions of India have been utilized to create the GBCA models. Various intersection dimensions with several vehicle types and maximum velocities are considered for validating the proposed GBCA model. Four uncontrolled intersection vehicle entering and leaving rules based on virtual priority abstract of Indian driving behaviour are also included as traffic operating scenarios within the proposed GBCA model simulation framework in NetLogo. Findings from the study suggests sign and priority-controlled intersections in India need re-modification in terms of driver turning rules. According to the GBCA simulations in NetLogo and Java, the fourth traffic rule re-modification proposed in this study helps reduce service delays by 17% but increases potential intersection capacity by 20% at priority-controlled intersections. The average potential capacities for right turning traffic as obtained from the proposed model are 2478 vehicles/h/lane and 1289 vehicles/h/lane for major and minor roads, respectively, which showed perfect correlations with field estimated gap acceptance capacities.
Unsignalized Intersection Capacity Estimation Through Traffic Rule Re-adjustments Using Agent-Based Cellular Automata Simulations
https://orcid.org/http://orcid.org/0000-0003-0352-5614
https://orcid.org/http://orcid.org/0000-0003-1415-365X
https://orcid.org/http://orcid.org/0000-0003-1619-7103
Priority and sign-controlled intersections under heterogeneous and mixed traffic conditions behave in an uncontrolled manner with drivers and other road users neglecting right-of-way and priority rules. Microscopic traffic flow simulation is an effective way to explain such complex vehicular interactions without much effort and cost in shortage of specific video-image data. This research aims at enhancing potential capacity of priority-controlled (unsignalized in nature) intersections using grid-based cellular automata (GBCA) models in context of agent-based computer simulations. The grid-based cellular automata (GBCA) model proposed considers three-dimensional visualizations of road objects like links, nodes, connectors with vehicles in OpenGL environment inside the NetLogo and Java platform. Twenty-three unsignalized (both four-legged and three-legged) intersection traffic and geometric data collected from different regions of India have been utilized to create the GBCA models. Various intersection dimensions with several vehicle types and maximum velocities are considered for validating the proposed GBCA model. Four uncontrolled intersection vehicle entering and leaving rules based on virtual priority abstract of Indian driving behaviour are also included as traffic operating scenarios within the proposed GBCA model simulation framework in NetLogo. Findings from the study suggests sign and priority-controlled intersections in India need re-modification in terms of driver turning rules. According to the GBCA simulations in NetLogo and Java, the fourth traffic rule re-modification proposed in this study helps reduce service delays by 17% but increases potential intersection capacity by 20% at priority-controlled intersections. The average potential capacities for right turning traffic as obtained from the proposed model are 2478 vehicles/h/lane and 1289 vehicles/h/lane for major and minor roads, respectively, which showed perfect correlations with field estimated gap acceptance capacities.
Unsignalized Intersection Capacity Estimation Through Traffic Rule Re-adjustments Using Agent-Based Cellular Automata Simulations
Iran J Sci Technol Trans Civ Eng
Datta, Suprabeet (author) / Rokade, Siddhartha (author) / Rajput, Sarvesh P. S. (author)
2022-06-01
27 pages
Article (Journal)
Electronic Resource
English
Interim materials on unsignalized intersection capacity
| TIBKAT | 1991
| British Library Online Contents | 1997
| British Library Conference Proceedings | 1997
Unsignalized Intersection Capacity and Level of Service: Revisiting Critical Gap
| British Library Online Contents | 1995