scholarly journals The Methodological Standard to the Assessment of the Traffic Simulation in Real Time

2020 ◽  
Author(s):  
Jan Mrazek ◽  
Martin Hromada ◽  
Lucia Duricova Mrazkova
Keyword(s):  
Real Time ◽  
Traffic Simulation ◽  
Methodological Standard

Research on the Traffic Simulation Platform Based on the Real-Time Mobile Phone Data

2012 ◽  
Vol 253-255 ◽  
pp. 1365-1368
Author(s):  
Ge Qi Qi ◽  
Jian Ping Wu ◽  
Yi Man Du
Keyword(s):  
Mobile Phone ◽  
Real Time ◽  
Traffic Simulation ◽  
Rapid Development ◽  
Mobile Phone Data ◽  
Simulation Platform ◽  
Traffic Data ◽  
The Real ◽  
Real Time Traffic ◽  
Wide Range

With the rapid development of the society, the transportation system has become more complicated and vulnerable. For simulating the real-time traffic condition of the whole city, a wide range of OD matrix data are needed which are hard to collect in whole based on the present conventional methods. The paper raises a feasible design of the traffic simulation platform based on the real-time mobile phone data. The popularity and development of mobile phones make the vast amounts of real-time traffic data can be collected and usable. With the help of the GIS module, dynamic OD traffic generation module and other related modules, the real-time mobile phone data will be converted to the valuable traffic data and applied to the traffic simulation platform.

A REAL-TIME NETWORK TRAFFIC SIMULATION MODEL FOR ATMS APPLICATIONS: PART I—SIMULATION METHODOLOGIES

1994 ◽  
Vol 1 (3) ◽  
pp. 227-241 ◽  
Author(s):  
Gang-Len Chang ◽  
Thanavat Junchaya ◽  
Alberto J. Santiago
Keyword(s):  
Simulation Model ◽  
Real Time ◽  
Network Traffic ◽  
Traffic Simulation

Data communication and intelligence in traffic simulation environments: Simulation time and performance experiments

2021 ◽  
pp. 1-8
Author(s):  
Joonho Ko ◽  
Hyun Woong Cho ◽  
Jung In Kim ◽  
Hyunmyung Kim ◽  
Young-Joo Lee ◽  
...  
Keyword(s):  
Real Time ◽  
Traffic Simulation ◽  
Data Communication ◽  
Simulation Models ◽  
Traffic Information ◽  
Time Data ◽  
Simulation Performance ◽  
Communication Methods ◽  
Simulation Time ◽  
Simulation Environments

Transportation system management and traveler information systems evolve with the development of data communications and intelligence of traffic simulations. Variety of roadside and mobile sensing platforms will be deployed to allow communication between vehicles with Dedicated Short Range Communications (DSRC). Traffic data received from moving vehicles will be transmitted to each individual vehicle and traffic management center to provide real time traffic information. Microscopic traffic simulation models will be used for generating intelligence from real time data in the form of traffic analysis and prediction, since they have the highest detailed level of prediction such as vehicle / driver characteristics and have the capability to capture dynamically changing traffic conditions through the simulation. In this study, three communication methods for data communication and intelligence in traffic simulation environments are used including Ethernet, off-the-shelf wireless network, and one commercial network provider for data communication. Simulation time is measured and statistically analyzed using three different communication methods and one non-communication case. Also, traffic simulation performance is investigated to demonstrate the intelligence of traffic simulation tools in modeling traffic congestion.

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