Dynamic traffic engineering for mixed traffic on international networks

2008 ◽  
Vol 52 (11) ◽  
pp. 2237-2258 ◽  
Author(s):  
Sukrit Dasgupta ◽  
Jaudelice C. de Oliveira ◽  
J.-P. Vasseur
Keyword(s):  
Traffic Engineering ◽  
Mixed Traffic ◽  
Dynamic Traffic ◽  
International Networks

DTE-SDN: A Dynamic Traffic Engineering Engine for Delay-Sensitive Transfer

2018 ◽  
Vol 5 (6) ◽  
pp. 5240-5253 ◽  
Author(s):  
Chuan Lin ◽  
Yuanguo Bi ◽  
Hai Zhao ◽  
Zheng Liu ◽  
Siyuan Jia ◽  
...  
Keyword(s):  
Traffic Engineering ◽  
Dynamic Traffic ◽  
Delay Sensitive

scholarly journals OpenFlow-controlled QoS-aware dynamic traffic engineering for differentiated service provisioning in hybrid IPv4/IPv6 networks

2016 ◽  
Vol 46 (5) ◽  
pp. 665-676
Author(s):  
Yan SHAO ◽  
Shengru LI ◽  
Zuqing ZHU ◽  
Shoujiang MA ◽  
Suoheng LI ◽  
...  
Keyword(s):  
Traffic Engineering ◽  
Service Provisioning ◽  
Differentiated Service ◽  
Dynamic Traffic ◽  
Ipv6 Networks

Energy and Mobility Impacts of System Optimal Dynamic Traffic Assignment for a Mixed Traffic of Legacy and Automated Vehicles

2019 ◽  
Vol 2673 (9) ◽  
pp. 389-406
Author(s):  
H. M. Abdul Aziz
Keyword(s):  
Energy Consumption ◽  
Travel Time ◽  
Traffic Assignment ◽  
Dynamic Traffic Assignment ◽  
Transportation Networks ◽  
Mixed Traffic ◽  
Automated Vehicles ◽  
Dynamic Traffic ◽  
System Optimal ◽  
Optimal Dynamic

This research develops a system optimal dynamic traffic assignment (DTA) model for mixed traffic of human drivers and automated vehicles (AVs) and investigates network level mobility and energy impacts for different market shares of AVs. A methodology based on vehicle-specific-energy is proposed to estimate the energy consumption from the embedded spatial-queuing traffic flow model within the DTA formulation. Results with a test network indicate that potential travel time and energy consumption reductions are possible with increased AV market share in transportation networks. Results also report a decrease in travel time as high as 49% and energy consumption as high as 28% at the system level. The developed DTA model will be able to assist in transportation planning and the investment decision process by estimating the mobility and energy impacts in future transportation networks with mixed traffic of human drivers and AVs.

Dynamic traffic engineering for high-throughput data forwarding in wireless mesh networks

2016 ◽  
Vol 56 ◽  
pp. 130-144 ◽  
Author(s):  
Maheen Islam ◽  
Md. Abdur Razzaque ◽  
Md. Mamun-Or-Rashid ◽  
Mohammad Mehedi Hassan ◽  
Ahmad Almogren ◽  
...  
Keyword(s):  
Wireless Mesh Networks ◽  
High Throughput ◽  
Traffic Engineering ◽  
Mesh Networks ◽  
Data Forwarding ◽  
Dynamic Traffic ◽  
High Throughput Data ◽  
Wireless Mesh

Traffic prediction for dynamic traffic engineering considering traffic variation

2013 ◽  
Author(s):  
Tatsuya Otoshi ◽  
Yuichi Ohsita ◽  
Masayuki Murata ◽  
Yousuke Takahashi ◽  
Keisuke Ishibashi ◽  
...  
Keyword(s):  
Traffic Engineering ◽  
Traffic Prediction ◽  
Dynamic Traffic
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