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INFORMATION PROPAGATION DYNAMIC THROUGH VEHICLE TO VEHICLE COMMUNICATION NETWORK ON A ROAD SEGMENT
Title
INFORMATION PROPAGATION DYNAMIC THROUGH VEHICLE TO VEHICLE COMMUNICATION NETWORK ON A ROAD SEGMENT
Creator
Wang, Lu
Date
2015, 2015-12
Description
Vehicle-to-vehicle communication system enables vehicles to share various traffic information such as road surface condition, real-time...
Show moreVehicle-to-vehicle communication system enables vehicles to share various traffic information such as road surface condition, real-time traffic congestion, crashing alert or weather situation. Thus, it has a great potential to improve traffic safety, mobility and environmental sustainability. To grant this great promise, information availability plays a critical roles. Accordingly, many previous studies have investigated statistic characteristics (such as mean and variance) of information propagation (such as speed/time delay via instantaneous transmission, connectivity, etc.) integrating traffic flow features. However, few of them are able to capture the information spread dynamics based on V2V. Motivated by this view, this research seeks to develop a discrete mathematical approach to capture information coverage dynamics built upon traffic flow dynamics, which is described by discrete traffic flow dynamics, i.e., cell transmission model. The approach is entailed by developed mathematical model to capture inner-cell information propagation delay and inter-cell transmission based on the proposed information-traffic cell transmission model. The development of the proposed methodology considers a single or two piece(s) of information is (are) sequentially landed on a one-way or two-way road segment underVehicle-to-vehicle communication system enables vehicles to share various traffic information such as road surface condition, real-time traffic congestion, crashing alert or weather situation. Thus, it has a great potential to improve traffic safety, mobility and environmental sustainability. To grant this great promise, information availability plays a critical roles. Accordingly, many previous studies have investigated statistic characteristics (such as mean and variance) of information propagation (such as speed/time delay via instantaneous transmission, connectivity, etc.) integrating traffic flow features. However, few of them are able to capture the information spread dynamics based on V2V. Motivated by this view, this research seeks to develop a discrete mathematical approach to capture information coverage dynamics built upon traffic flow dynamics, which is described by discrete traffic flow dynamics, i.e., cell transmission model. The approach is entailed by developed mathematical model to capture inner-cell information propagation delay and inter-cell transmission based on the proposed information-traffic cell transmission model. The development of the proposed methodology considers a single or two piece(s) of information is (are) sequentially landed on a one-way or two-way road segment under sparse or congested traffic flow considered. Next-Generation simulation field data and Paramics simulated data are used to verify the accuracy of the experiments. Our experimental results show that the proposed model can accurately track information spread dynamics with mean absolute error less than 5% over all experiments. Key words: Vehicle-to-vehicle communication system; cell transmission model; time delay; information propagation coverage.
M.S. in Civil Engineering, December 2015
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