scholarly journals Analysis of the traffic behavior of emergency vehicles in a microscopic traffic simulation

10.29007/bv4j ◽  
2018 ◽  
Author(s):  
Laura Bieker-Walz ◽  
Michael Behrisch ◽  
Marek Junghans
Keyword(s):  
Real World ◽  
Traffic Simulation ◽  
Emergency Vehicle ◽  
Urban Mobility ◽  
Real World Data ◽  
Time Saving ◽  
Microscopic Traffic Simulation ◽  
Emergency Vehicles ◽  
Special Rights ◽  
Traffic Behavior

This paper presents how emergency vehicles can be modeled and simulated in the microscopic traffic simulation SUMO (Simulation of Urban MObility). The special rights of emergency vehicles are implemented in the SUMO framework and can be switched off and on in the simulation with a blue light device. The surrounding traffic reacts accordingly to the emergency vehicle and form an emergency lane. In addition real world data from emergency vehicles are used to evaluate the driving behavior of emergency vehicles and compare it to real world and simulated vehicle characteristics. The evaluation results show that the simulated vehicles pass an intersection generally faster than in real world. For emergency vehicle a time saving of in average one second at a single intersection could be measured for right turning vehicles.

Multiregime Approach for Microscopic Traffic Simulation

1998 ◽  
Vol 1644 (1) ◽  
pp. 103-114 ◽  
Author(s):  
Yunlong Zhang ◽  
Larry E. Owen ◽  
James E. Clark
Keyword(s):  
Traffic Flow ◽  
Real World ◽  
Traffic Simulation ◽  
Simulation Models ◽  
Traffic Modeling ◽  
Simulation Approach ◽  
Microscopic Simulation ◽  
Lane Changing ◽  
Microscopic Traffic Simulation ◽  
Simulation Results

The purpose of this paper is to explore various traffic modeling aspects and theories that may overcome some of the limitations in existing microscopic simulation models. A multiregime microscopic traffic simulation approach has been formulated featuring realistic and comprehensive carfollowing and lane-changing logic. A prototype implementation of the multiregime approach was developed in C++ and extensively tested. The multiregime simulation results demonstrate the efficiency and validity of the proposed models for a broad range of traffic scenarios. The test and validation results indicate that the model and program outperformed traditional methods and other existing traffic simulation programs. The validity and efficiency of the model is attributed to the fact that the regimes were added to the model incrementally to reflect increasing agreement with real-world traffic flow. The techniques and corresponding models will be used to improve existing microscopic traffic simulation models and programs.

A Systematic Approach to Develop Metaheuristic Traffic Simulation Models from Big Data Analytics on Real-World Data

2021 ◽  
Author(s):  
Ashish Naidu ◽  
Archak Mittal ◽  
Rebecca Kreucher ◽  
Alice Chen Zhang ◽  
Walter Ortmann ◽  
...  
Keyword(s):  
Big Data ◽  
Real World ◽  
Data Analytics ◽  
Systematic Approach ◽  
Traffic Simulation ◽  
Big Data Analytics ◽  
Simulation Models ◽  
Real World Data ◽  
World Data

scholarly journals Controlling a real-world intersection with connected vehicle information provided by CAMs (Cooperative Awareness Messages)

10.29007/s6jm ◽  
2019 ◽  
Author(s):  
Daniel Wesemeyer ◽  
Jan Trumpold
Keyword(s):  
Real World ◽  
Traffic Simulation ◽  
Flow Behavior ◽  
Connected Vehicle ◽  
Urban Mobility ◽  
Control Units ◽  
Realistic Representation ◽  
Vehicle Information ◽  
Cooperative Awareness Messages ◽  
Cooperative Awareness

The project MAVEN (see https://www.maven-ts.eu), funded by the European Com- mission, aims at developing a system for infrastructure-assisted platoon organization and green phase negotiation for automated connected vehicles (ACVs). Vehicle-to-Everything (V2X) communication protocols are hereby used for the insertion of vehicles into a traffic simulation of a real-world intersection. Until now, real world traffic could be inserted into a simulation through stationary detectors, for example magnet field sensors, induction loops, cameras, radar etc. The downside of this detection method is that only momentary information can be obtained and e.g. the behavior of the vehicles approaching an intersection can only be approximated. ACVs however continuously broadcast their positions and speeds via CAMs. Detecting vehicles though these messages leads to a more realistic representation of the vehicle’s driving behavior. The current paper describes how CAMs are used to place and move ACVs inside the simulation of a real-world intersection in Braunschweig with the traffic simulation SUMO (Simulation of Urban Mobility). Furthermore, it describes an approach to how these continuously detected vehicles could be further used as control units. Since the positions and speeds of ACVs are synchronized with the real-world behavior, they can be used to adjust the simulated upstream movements and positioning of conventional vehicles (CV) to match reality. Until all vehicles are equipped with V2X technology, this approach could enable more realistic simulated traffic flow behavior.

scholarly journals Report on validation of the stochastic traffic simulation (Part B)

2021 ◽  
Author(s):  
Maximilian Bäumler ◽  
◽  
Madlen Ringhand ◽  
Christian Siebke ◽  
Marcus Mai ◽  
...  
Keyword(s):  
Traffic Safety ◽  
Real World ◽  
Driving Simulator ◽  
Traffic Simulation ◽  
Relevant Literature ◽  
Assessment Process ◽  
Maximum Speed ◽  
Real World Data ◽  
World Data ◽  
Driving Behaviour

This document is intended to give an overview of the validation of the human subject study, conducted in the driving simulator of the Chair of Traffic and Transportation Psychology (Verkehrspsychologie – VPSY) of the Technische Universität Dresden (TUD), as well of the validation of the stochastic traffic simulation developed in the AutoDrive project by the Chair of Automotive Engineering (Lehrstuhl Kraftfahrzeugtechnik – LKT) of TUD. Furthermore, the evaluation process of a C-AEB (Cooperative-Automatic Emergency Brake) system is demonstrated. The main purpose was to compare the driving behaviour of the study participants and the driving behaviour of the agents in the traffic simulation with real world data. Based on relevant literature, a validation concept was designed and real world data was collected using drones and stationary cameras. By means of qualitative and quantitative analysis it could be shown, that the driving simulator study shows realistic driving behaviour in terms of mean speed. Moreover, the stochastic traffic simulation already reflects reality in terms of mean and maximum speed of the agents. Finally, the performed evaluation proofed the suitability of the developed stochastic simulation for the assessment process. Furthermore, it could be shown, that a C-AEB system improves the traffic safety for the chosen test-scenarios.

Abstract #946: Assessment of Acromegaly Patients with and Without Diabetes Treated with Lanreotide Depot: 2-Year Real World Data

2016 ◽  
Vol 22 ◽  
pp. 219
Author(s):  
Roberto Salvatori ◽  
Olga Gambetti ◽  
Whitney Woodmansee ◽  
David Cox ◽  
Beloo Mirakhur ◽  
...  
Keyword(s):  
Real World ◽  
Real World Data ◽  
World Data

Safety and efficacy of direct acting oral anticoagulants and vitamin K antagonists in nonvalvular atrial fibrillation – a network meta-analysis of real-world data

VASA ◽  
2019 ◽  
Vol 48 (2) ◽  
pp. 134-147 ◽  
Author(s):  
Mirko Hirschl ◽  
Michael Kundi
Keyword(s):  
Real World ◽  
Meta Analysis ◽  
Vitamin K Antagonists ◽  
Oral Anticoagulants ◽  
Efficacy And Safety ◽  
Nonvalvular Atrial Fibrillation ◽  
Real World Data ◽  
Hazard Ratios ◽  
Direct Acting ◽  
Event Rates

Abstract. Background: In randomized controlled trials (RCTs) direct acting oral anticoagulants (DOACs) showed a superior risk-benefit profile in comparison to vitamin K antagonists (VKAs) for patients with nonvalvular atrial fibrillation. Patients enrolled in such studies do not necessarily reflect the whole target population treated in real-world practice. Materials and methods: By a systematic literature search, 88 studies including 3,351,628 patients providing over 2.9 million patient-years of follow-up were identified. Hazard ratios and event-rates for the main efficacy and safety outcomes were extracted and the results for DOACs and VKAs combined by network meta-analysis. In addition, meta-regression was performed to identify factors responsible for heterogeneity across studies. Results: For stroke and systemic embolism as well as for major bleeding and intracranial bleeding real-world studies gave virtually the same result as RCTs with higher efficacy and lower major bleeding risk (for dabigatran and apixaban) and lower risk of intracranial bleeding (all DOACs) compared to VKAs. Results for gastrointestinal bleeding were consistently better for DOACs and hazard ratios of myocardial infarction were significantly lower in real-world for dabigatran and apixaban compared to RCTs. By a ranking analysis we found that apixaban is the safest anticoagulant drug, while rivaroxaban closely followed by dabigatran are the most efficacious. Risk of bias and heterogeneity was assessed and had little impact on the overall results. Analysis of effect modification could guide the clinical decision as no single DOAC was superior/inferior to the others under all conditions. Conclusions: DOACs were at least as efficacious as VKAs. In terms of safety endpoints, DOACs performed better under real-world conditions than in RCTs. The current real-world data showed that differences in efficacy and safety, despite generally low event rates, exist between DOACs. Knowledge about these differences in performance can contribute to a more personalized medicine.

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