Affiliations: [a] Graduate School of Urban Studies, Hanyang University, Seoul, Republic of Korea
| [b]
Virginia Transportation Research Council, Charlottesville, VA, USA
| [c] Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong
| [d] Department of Transportation Engineering, Myongji University, Yongin, Republic of Korea
| [e] Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea
| [f] Department of Smart City Engineering, Hanyang University ERICA Campus, Sangnok-Gu, Ansan, Republic of Korea
Correspondence:
[*]
Corresponding author. Wonho Suh, Department of Smart City Engineering, Hanyang University ERICA Campus, 55 Hanyangdaehak-Ro, Sangnok-Gu, Ansan, Republic of Korea. Tel.: +82 31 400 5154; Fax: +82 31 436 8147; E-mail: [email protected].
Abstract: 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.
Keywords: Traffic simulation environments, data communication, intelligence of traffic simulation, simulation analysis, network simulation
