DocumentCode :
2646239
Title :
Packet success probabilities for intelligent vehicle highway systems using measured headway distributions
Author :
Reijmers, Han ; Prasad, Ramjee
Author_Institution :
Telecommun. & Traffic-Control Syst. Group, Delft Univ. of Technol., Netherlands
fYear :
1994
fDate :
31 Aug-2 Sep 1994
Firstpage :
127
Lastpage :
132
Abstract :
This paper evaluates the packet success probabilities for vehicles sending data to a base station near the motorway. An appropriate statistical model for the distribution of the vehicles on a motorway is investigated using measured data. The measurements were carried out on the A13 motorway in the Netherlands during relatively heavy traffic periods. The measurements were split into three traffic conditions: queuing traffic with low speed, heavy traffic with small average headways and free flowing traffic with larger headways. Six models for the distribution of the distances between the vehicles were considered. For the results presented in this paper the shifted negative exponential distribution was chosen. The success probabilities are calculated using Rician distribution, single slope path loss and capture effect
Keywords :
automated highways; data communication; land mobile radio; packet radio networks; probability; A13 motorway; IVHS; Rician distribution; base station; capture effect; free flowing traffic; heavy traffic; intelligent vehicle highway systems; measured headway distributions; packet success probabilities; queuing traffic; shifted negative exponential distribution; single slope path loss; statistical model; the Netherlands; Exponential distribution; Intelligent vehicles; Land mobile radio; Navigation; Power system modeling; Probability; Rician channels; Road transportation; Traffic control; Velocity measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicle Navigation and Information Systems Conference, 1994. Proceedings., 1994
Conference_Location :
Yokohama
Print_ISBN :
0-7803-2105-7
Type :
conf
DOI :
10.1109/VNIS.1994.396853
Filename :
396853
Link To Document :
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