Back to Search Start Over

Virtual city testbed

Authors :
Emilio Frazzoli.
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Oleg I. Kozhushnyan, Oleg I. Kozhushnyan (Oleg Igorevich)
Emilio Frazzoli.
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Oleg I. Kozhushnyan, Oleg I. Kozhushnyan (Oleg Igorevich)
Publication Year :
2011

Abstract

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.<br />Cataloged from PDF version of thesis.<br />Includes bibliographical references (p. 35).<br />Traffic simulation is an important aspect of understanding how people move throughout various road systems. It can provide insight into the design of city streets and how well they can handle certain traffic patterns. There are various simulators available, ranging from free tools such as TRANSIMS to commercial implementations such as TransCAD. The available tools provide complex, large scale and very detailed simulation capabilities. The Virtual City Testbed addresses aspects that are not available in these tools. Primarily, the test bed provides the ability for interaction with the traffic system in real time. Instead of basing the simulation solely on automated vehicle models, we allow for human participants to interact with individual cars via a remote simulation client. Thus we are able to inject realistic human input into our simulation. A second feature provided by our simulation is the ability to disrupt a simulation in progress. A disruption usually involves disabling access to a set of streets which forces the traffic to adapt as it moves around the road system. This yields a way to study the way traffic motion changes within a road system under the presence of unexpected events such as natural disasters or other real life disruptions. Ultimately, we provide a test bed for studying traffic under varying environmental conditions.<br />by Oleg I. Kozhushnyan.<br />M.Eng.

Details

Database :
OAIster
Notes :
35 p., application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1139463433
Document Type :
Electronic Resource