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Simulation framework for connected vehicles: a scoping review
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-33506-9_33openalex-snapshot
Comparison of LoRa Simulation Environments
inferredcites →https://doi.org/10.1007/978-981-15-5270-0_12openalex-snapshot
Realistic 5.9 GHz DSRC Vehicle-to-Vehicle Wireless Communication Protocols for Cooperative Collision Warning in Underground Mining
inferredcites →https://doi.org/10.1007/s11023-020-09520-zopenalex-snapshot
What is a Simulation Model?
inferredcites →https://doi.org/10.1007/s11277-019-06377-zopenalex-snapshot
A Cross Layer Cluster Based Routing Approach for Efficient Multimedia Data Dissemination with Improved Reliability in VANETs
inferredcites →https://doi.org/10.1007/s11277-020-07779-0openalex-snapshot
Fire Controlling Under Uncertainty in Urban Region Using Smart Vehicular Ad hoc Network
inferredcites →https://doi.org/10.1007/s41019-020-00151-zopenalex-snapshot
A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation
inferredcites →https://doi.org/10.1016/j.adhoc.2008.04.008openalex-snapshot
Realistic mobility simulation of urban mesh networks
inferredcites →https://doi.org/10.1016/j.enbenv.2020.05.002openalex-snapshot
Future cities and autonomous vehicles: analysis of the barriers to full adoption
inferredcites →https://doi.org/10.1016/j.heliyon.2019.e02340openalex-snapshot
A comparative study on routing protocols for VANETs
inferredcites →https://doi.org/10.1016/j.trip.2021.100486openalex-snapshot
An overview of agent-based traffic simulators
inferredcites →https://doi.org/10.1049/iet-wss.2020.0046openalex-snapshot
Modelling and simulation frameworks for wireless sensor networks: a comparative study
inferredcites →https://doi.org/10.1080/15472450.2017.1336053openalex-snapshot
Connected and automated vehicle systems: Introduction and overview
inferredcites →https://doi.org/10.1080/19439962.2017.1333181openalex-snapshot
Determination if VISSIM and SSAM could estimate pedestrian-vehicle conflicts at signalized intersections
inferredcites →https://doi.org/10.1080/23311916.2014.961345openalex-snapshot
DTALite: A queue-based mesoscopic traffic simulator for fast model evaluation and calibration
inferredcites →https://doi.org/10.1080/23311916.2017.1362802openalex-snapshot
VANET routing protocol for V2V implementation: A suitable solution for developing countries
inferredcites →https://doi.org/10.1088/1757-899x/768/5/052061openalex-snapshot
Comparison and Analysis of Simulation methods for TSN Performance
inferredcites →https://doi.org/10.1109/ccwc51732.2021.9375830openalex-snapshot
Comparison and Analysis Performance in Topology-Based Routing Protocols in Vehicular Ad-hoc Network (VANET)
inferredcites →https://doi.org/10.1109/hora49412.2020.9152903openalex-snapshot
Evaluation DSDV, AODV and OLSR routing protocols in real live by using SUMO with NS3 simulation in VANET
inferredcites →https://doi.org/10.1109/icos.2016.7882000openalex-snapshot
Progressing toward urban topology and mobility trace for Vehicular Ad Hoc Network (VANET)
inferredcites →https://doi.org/10.1109/isemantic50169.2020.9234202openalex-snapshot
Performance Evaluation on VANET Routing Protocols in The Way Road of Central Jakarta using NS-3 and SUMO
inferredcites →https://doi.org/10.1109/jcn.2017.000037openalex-snapshot
Special issue on V2X communications and networks
inferredcites →https://doi.org/10.1139/cjce-2015-0435openalex-snapshot
Calibration protocol for PARAMICS microscopic traffic simulation model: application of neuro-fuzzy approach
inferredcites →https://doi.org/10.1145/2386958.2386978openalex-snapshot
Generation of realistic traces for vehicular mobility simulations
inferredcites →https://doi.org/10.1145/2769458.2769475openalex-snapshot
Traffic Simulation Performance Optimization through Multi-Resolution Modeling of Road Segments
inferredcites →https://doi.org/10.1145/3355491.3355495openalex-snapshot
Generating traffic data for any city using SMARTS simulator
inferredcites →https://doi.org/10.1155/2020/4038305openalex-snapshot
Microscopic Traffic Simulation Calibration Level for Reliable Estimation of Vehicle Emissions
inferredcites →https://doi.org/10.1155/2020/8231930openalex-snapshot
Simulation Strategies for Mixed Traffic Conditions: A Review of Car-Following Models and Simulation Frameworks
inferredcites →https://doi.org/10.11591/eei.v10i2.2943openalex-snapshot
Performance evaluation for vehicular ad-hoc networks based routing protocols
inferredcites →https://doi.org/10.11591/eei.v6i1.568openalex-snapshot
A Survey on Wireless Network Simulators
inferredcites →https://doi.org/10.11591/ijece.v9i1.pp397-401openalex-snapshot
Compressed fuzzy logic based multi-criteria AODV routing in VANET environment
inferredcites →https://doi.org/10.1177/0361198118790860openalex-snapshot
Real-Time Detector-Free Adaptive Signal Control with Low Penetration of Connected Vehicles
inferredcites →https://doi.org/10.1177/1550147716664740openalex-snapshot
A survey on network simulators in three-dimensional wireless ad hoc and sensor networks
inferredcites →https://doi.org/10.1177/1550147717738216openalex-snapshot
Evaluating network test scenarios for network simulators systems
inferredcites →https://doi.org/10.1186/s13173-021-00113-xopenalex-snapshot
VANET simulators: an updated review
inferredcites →https://doi.org/10.14569/ijacsa.2016.071251openalex-snapshot
Using Real-World Car Traffic Dataset in Vehicular Ad Hoc Network Performance Evaluation
inferredcites →https://doi.org/10.17576/jkukm-2020-32(3)-11openalex-snapshot
Evaluation of Most Influential Factors Affecting Road Traffic Accidents in Sidon, Lebanon
inferredcites →https://doi.org/10.30880/ijie.2020.12.01.005openalex-snapshot
Performance Evaluation of DYMO and OLSRv2 Routing Protocols in VANET
inferredcites →https://doi.org/10.3390/app11062584openalex-snapshot
Evaluation of Accuracy of Traffic Flow Generation in SUMO
inferredcites →https://doi.org/10.3390/electronics8101177openalex-snapshot
Survey on Routing Protocols for Vehicular Ad Hoc Networks Based on Multimetrics
inferredcites →https://doi.org/10.3390/electronics9020272openalex-snapshot
Computer Network Simulation with ns-3: A Systematic Literature Review
inferredcites →https://doi.org/10.3390/electronics9101640openalex-snapshot
Distance-Based Resource Allocation for Vehicle-to-Pedestrian Safety Communication
inferredcites →https://doi.org/10.3390/fi11020027openalex-snapshot
An Overview of Vehicular Communications
inferredcites →https://doi.org/10.3390/ijerph16183400openalex-snapshot
Current Understanding of the Effects of Congestion on Traffic Accidents
inferredcites →https://doi.org/10.3390/s19122756openalex-snapshot
Review on V2X, I2X, and P2X Communications and Their Applications: A Comprehensive Analysis over Time
inferredcites →https://doi.org/10.3390/urbansci3010018openalex-snapshot
Solving Traffic Congestion through Street Renaissance: A Perspective from Dense Asian Cities
inferredcites →https://doi.org/10.3390/urbansci3020061openalex-snapshot
Autonomous Road Vehicles: Challenges for Urban Planning in European Cities
inferredcites →https://doi.org/10.5334/bawopenalex-snapshot
The Multi-Agent Transport Simulation MATSim
inferredcites →https://doi.org/10.5445/ir/1000093798openalex-snapshot
Simulation of Autonomous Vehicles Based on Wiedemann’s Car Following Model in PTV VISSIM
inferredcites →https://doi.org/10.5703/1288284316879openalex-snapshot
Strategic and Tactical Guidance for the Connected and Autonomous Vehicle Future
inferredcites →https://doi.org/10.7326/m18-0850openalex-snapshot
PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1063/12.0046619openalex-snapshot
Machine learning based pathloss characteristic for full duplex vehicle to vehicle channel estimation: A literature review
inferred← citeshttps://doi.org/10.1109/access.2024.3508473openalex-snapshot
A Survey of Simulation Tools for Cooperative Positioning in Autonomous Vehicles
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