Microscopic Estimation of Freeway Vehicle Positions From the Behavior of Connected Vehicles

Given the current connected vehicles program in the United States, as well as other similar initiatives in vehicular networking, it is highly likely that vehicles will soon wirelessly transmit status data, such as speed and position, to nearby vehicles and infrastructure. This will drastically impact the way traffic is managed, allowing for more responsive traffic signals, better traffic information, and more accurate travel time prediction. Research suggests that to begin experiencing these benefits, at least 20% of vehicles must communicate, with benefits increasing with higher penetration rates. Because of bandwidth limitations and a possible slow deployment of the technology, only a portion of vehicles on the roadway will participate initially. Fortunately, the behavior of these communicating vehicles may be used to estimate the locations of nearby non-communicating vehicles, thereby artificially augmenting the penetration rate and producing greater benefits. We propose an algorit...

• Type: Journal
• Year: 2016
• Where: JITS
• Authors: Noah J. Goodall, Brian L. Smith, Byungkyu Brian Park
• Keywords: JITS 2016