Trajectory Simulation of Emergency Vehicles and Interactions with Surrounding Traffic
Emergency services play an important role in the life of a city and are subject to constant public scrutiny. The efficient dispatch of emergency vehicles (EMVs) requires realistic shortest-path algorithms involving the movement of EMVs within an urban network under emergency conditions. Trip-time es...
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2023/5995950 |
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| _version_ | 1832547969209991168 |
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| author | Cristián E. Cortés Bruno Stefoni |
| author_facet | Cristián E. Cortés Bruno Stefoni |
| author_sort | Cristián E. Cortés |
| collection | DOAJ |
| description | Emergency services play an important role in the life of a city and are subject to constant public scrutiny. The efficient dispatch of emergency vehicles (EMVs) requires realistic shortest-path algorithms involving the movement of EMVs within an urban network under emergency conditions. Trip-time estimates used in shortest-path algorithms would be much more precise if it were possible to model more realistically the interactions between EMVs and surrounding traffic, as well as the reactions of other vehicles in the presence of an EMV. Therefore, EMV trajectories should be studied at the microscopic level to accurately model the impact of EMV travel along a path shared with other vehicles. In this research, we develop three models to incorporate specific non-EMV reactions associated with changing lanes, mounting the sidewalk, and approaching an intersection, plus two algorithms to actuate traffic lights at signalized intersections. These models and algorithms were coded in commercial microscopic traffic simulation software through the implementation of an application programming interface (API) designed to overcome the limitations of the software to realistically simulate disturbed traffic conditions and anomalous nonemergency vehicle driver behaviour observed in the presence of an EMV. Basic information about these real-world effects was gleaned from video footage recorded in Santiago, Chile, by traffic cameras, fire truck-mounted cameras, and truck-originated GPS pulses. To validate the design, a real EMV trip captured by the footage was simulated by the API. The simulation considerably reduced the degree of error in delineating the path followed by the EMV compared to the default simulations generated by most commercially available software, thereby demonstrating that the API can provide highly accurate estimates of EMV trip times in an emergency context. |
| format | Article |
| id | doaj-art-2404026c0e054ca0b87cfbc95ef0b33f |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-2404026c0e054ca0b87cfbc95ef0b33f2025-02-03T06:42:38ZengWileyJournal of Advanced Transportation2042-31952023-01-01202310.1155/2023/5995950Trajectory Simulation of Emergency Vehicles and Interactions with Surrounding TrafficCristián E. Cortés0Bruno Stefoni1Department of Civil EngineeringDepartment of Civil EngineeringEmergency services play an important role in the life of a city and are subject to constant public scrutiny. The efficient dispatch of emergency vehicles (EMVs) requires realistic shortest-path algorithms involving the movement of EMVs within an urban network under emergency conditions. Trip-time estimates used in shortest-path algorithms would be much more precise if it were possible to model more realistically the interactions between EMVs and surrounding traffic, as well as the reactions of other vehicles in the presence of an EMV. Therefore, EMV trajectories should be studied at the microscopic level to accurately model the impact of EMV travel along a path shared with other vehicles. In this research, we develop three models to incorporate specific non-EMV reactions associated with changing lanes, mounting the sidewalk, and approaching an intersection, plus two algorithms to actuate traffic lights at signalized intersections. These models and algorithms were coded in commercial microscopic traffic simulation software through the implementation of an application programming interface (API) designed to overcome the limitations of the software to realistically simulate disturbed traffic conditions and anomalous nonemergency vehicle driver behaviour observed in the presence of an EMV. Basic information about these real-world effects was gleaned from video footage recorded in Santiago, Chile, by traffic cameras, fire truck-mounted cameras, and truck-originated GPS pulses. To validate the design, a real EMV trip captured by the footage was simulated by the API. The simulation considerably reduced the degree of error in delineating the path followed by the EMV compared to the default simulations generated by most commercially available software, thereby demonstrating that the API can provide highly accurate estimates of EMV trip times in an emergency context.http://dx.doi.org/10.1155/2023/5995950 |
| spellingShingle | Cristián E. Cortés Bruno Stefoni Trajectory Simulation of Emergency Vehicles and Interactions with Surrounding Traffic Journal of Advanced Transportation |
| title | Trajectory Simulation of Emergency Vehicles and Interactions with Surrounding Traffic |
| title_full | Trajectory Simulation of Emergency Vehicles and Interactions with Surrounding Traffic |
| title_fullStr | Trajectory Simulation of Emergency Vehicles and Interactions with Surrounding Traffic |
| title_full_unstemmed | Trajectory Simulation of Emergency Vehicles and Interactions with Surrounding Traffic |
| title_short | Trajectory Simulation of Emergency Vehicles and Interactions with Surrounding Traffic |
| title_sort | trajectory simulation of emergency vehicles and interactions with surrounding traffic |
| url | http://dx.doi.org/10.1155/2023/5995950 |
| work_keys_str_mv | AT cristianecortes trajectorysimulationofemergencyvehiclesandinteractionswithsurroundingtraffic AT brunostefoni trajectorysimulationofemergencyvehiclesandinteractionswithsurroundingtraffic |