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Influence of Emergency Vehicle Preemption on Travelling Time and Traffic Safety in Urban Environments enabled by Innovative Behavioral Models and V2X Communication – Simulation and Case Study

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-15024-6_8openalex-snapshot
Development and Assessment of Cooperative V2X Applications for Emergency Vehicles in an Urban Environment Enabled by Behavioral Models
inferredcites →https://doi.org/10.1007/978-3-642-82109-7_8openalex-snapshot
Experience with Traffic Conflicts in Canada with Emphasis on “Post Encroachment Time” Techniques
inferredcites →https://doi.org/10.1016/j.sbspro.2013.08.242openalex-snapshot
Travel Time Estimation Model for Emergency Vehicles under Preemption Control
inferredcites →https://doi.org/10.1067/mem.2002.128681openalex-snapshot
Occupational fatalities in emergency medical services: A hidden crisis
inferredcites →https://doi.org/10.1080/10903120190939751openalex-snapshot
CHARACTERISTICS OF FATAL AMBULANCE CRASHES IN THE UNITED STATES: AN 11-YEAR RETROSPECTIVE ANALYSIS
inferredcites →https://doi.org/10.1080/10903120500253813openalex-snapshot
Comparison of Crashes Involving Ambulances with Those of Similar-Sized Vehicles
inferredcites →https://doi.org/10.1080/10903120701536966openalex-snapshot
Comparison of Rural andUrban Ambulance Crashes in Pennsylvania
inferredcites →https://doi.org/10.1109/inista.2014.6873612openalex-snapshot
Cooperative decentralized decision making for conflict resolution among autonomous agents
inferredcites →https://doi.org/10.1109/vetecf.2009.5378787openalex-snapshot
Simulation Modeling and Application with Emergency Vehicle Presence in CORSIM
inferredcites →https://doi.org/10.1109/vnc.2009.5416384openalex-snapshot
A VANET-based emergency vehicle warning system
inferredcites →https://doi.org/10.1145/2030698.2030702openalex-snapshot
LIMERIC
inferredcites →https://doi.org/10.24355/dbbs.084-201501261104-0openalex-snapshot
Reliability Assessment of Vehicle-to-Vehicle Communication
inferredcites →https://doi.org/10.3141/2149-09openalex-snapshot
Effects of Dynamically Activated Emergency Vehicle Warning Sign on Driver Behavior at Urban Intersections
inferredcites →https://doi.org/10.4271/2011-01-0576openalex-snapshot
Method for Estimating Time to Collision at Braking in Real-World, Lead Vehicle Stopped Rear-End Crashes for Use in Pre-Crash System Design

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4125888openalex-extracted
Simulation of Emergency Vehicle Operations
inferred← citeshttps://doi.org/10.1109/tits.2023.3265985openalex-snapshot
A VT-HMM-Based Framework for Countdown Timer Traffic Light State Estimation
inferred← citeshttps://doi.org/10.1109/wsc63780.2024.10838815openalex-snapshot
Enhancing Driver Behavior Models in Response to Emergency Vehicles
inferred← citeshttps://doi.org/10.1155/2023/5995950openalex-snapshot
Trajectory Simulation of Emergency Vehicles and Interactions with Surrounding Traffic
inferred← citeshttps://doi.org/10.1177/03611981221119459openalex-snapshot
Potential of Cooperative Intelligent Transport System Services to Mitigate Risk Factors Associated With Emergency Vehicle Accidents
inferred← citeshttps://doi.org/10.1680/jtran.22.00019openalex-snapshot
An evaluation of emergency vehicle preferential treatment strategies by traffic simulation
inferred← citeshttps://doi.org/10.3390/app13148419openalex-snapshot
Real-Life Traffic Data Based ITS-G5 Channel Load Simulations of a Major Hungarian C-ITS Deployment Site
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