Admission control for VoIP over HSDPA in a mixed traffic scenario

2006 ◽  
Author(s):  
Andre R. Braga ◽  
Stefan Wanstedt ◽  
Marten Ericson
Keyword(s):  
Admission Control ◽  
Mixed Traffic ◽  
Traffic Scenario

Cooperative Perception using Cellular V2X in Mixed Traffic Scenario

2021 ◽  
Author(s):  
Muhammad Rony Hidayatullah ◽  
Jyh-Ching Juang ◽  
Zhao-Shun Zheng ◽  
Wei-Hsuan Chang
Keyword(s):  
Mixed Traffic ◽  
Traffic Scenario

Admission control over mixed traffic in ATM networks

1990 ◽  
Vol 3 (2) ◽  
pp. 155-159 ◽  
Author(s):  
A. Lombardo ◽  
S. Palazzo ◽  
D. Panno
Keyword(s):  
Admission Control ◽  
Atm Networks ◽  
Mixed Traffic

scholarly journals Evaluation of Bus-Bicycle and Bus/Right-Turn Traffic Delays and Conflicts

2019 ◽  
Vol 2673 (7) ◽  
pp. 443-453
Author(s):  
Katherine L. Keeling ◽  
Travis B. Glick ◽  
Miles Crumley ◽  
Miguel A. Figliozzi
Keyword(s):  
Video Data ◽  
Mixed Traffic ◽  
Volume Data ◽  
Significant Delay ◽  
Bus Stop ◽  
Traffic Delays ◽  
Bus Delay ◽  
Traffic Scenario ◽  
Traffic Corridor ◽  
Bicycle Lane

This research evaluates conflicts and delays caused by interactions among buses, bicycles, and right-turning vehicles at a mixed traffic corridor in Portland, OR. The study site has a near-side bus stop and a right curbside lane designated for buses and right-turning vehicles. Next to the bus/right-turn lane is a bicycle lane with a bicycle box ahead of the bus stop (i.e., between the intersection and the bus stop). This research examines two concerns caused by these overlapping bus, bicycle, and automobile facilities; the first is the number of bus-bicycle conflicts (as a proxy for safety) and the second is bus delay. Video data was collected and analyzed to quantify conflicts, travel time, and delay. For every bus passing through the study site, the mixed traffic scenario that the bus incurs was categorized as one of 72 different combinations of bus, bicycle, and automobile interactions. Video count data was weighted according to seasonal, weekly, and hourly bicycle volume data to estimate the number of annual bus–bicycle conflicts. A regression analysis was performed to identify potential sources of delays. The results indicate that each bicycle crossing the intersection after the bus (within 60 ft of bus) contributes to bus delay. No statistically significant delay was found from the bicycles stopped in the bicycle box, bicycles stopped behind the bicycle box, bicycles that cross the intersection before the bus, or the presence of right-turning vehicles.

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