Urban Local Network Traffic Assignment Method Based on Turning Splitof Intersection

2009 ◽  
Author(s):  
Hui Xiao ◽  
Lijun Sun
Keyword(s):  
Network Traffic ◽  
Traffic Assignment ◽  
Local Network ◽  
Assignment Method

scholarly journals A TRAFFIC ASSIGNMENT METHOD BY SIMPLIFING NETWORK REPRESENTATION OF MESH SUBAREAS

1985 ◽  
Vol 2 ◽  
pp. 149-156
Author(s):  
Yasunori IIDA ◽  
Jun-ichi TAKAYAMA ◽  
Hideo YOKOYAMA
Keyword(s):  
Traffic Assignment ◽  
Network Representation ◽  
Assignment Method

scholarly journals A Dynamic Traffic Assignment Method Based on Connected Transportation System

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 65679-65692 ◽  
Author(s):  
Li Zhang ◽  
Jiaming Liu ◽  
Bin Yu ◽  
Gang Chen
Keyword(s):  
Traffic Assignment ◽  
Dynamic Traffic Assignment ◽  
Transportation System ◽  
Dynamic Traffic ◽  
Assignment Method

Resource-Aware Clustering Based AODVjr Routing Protocol in the Internet of Things

2013 ◽  
Vol 17 (4) ◽  
pp. 622-627 ◽  
Author(s):  
Xiaoni Wang ◽  
◽  
Keyword(s):  
Internet Of Things ◽  
Routing Protocol ◽  
Network Traffic ◽  
Ad Hoc ◽  
Terminal Node ◽  
Local Network ◽  
The Internet ◽  
Ad Hoc Routing ◽  
Resource Aware ◽  
The Internet Of Things

Through ad hoc routing protocol AODVjr and resource-aware data mining algorithms research, a resource-aware clustering based routing protocol in the Internet of Things, RA-AODVjr, is proposed. It solves the short comings of the constrained resources of memory, computing power, and the power energy of the wireless sensor’s terminal node in the Internet of Things. RA-AODVjr protocol is designed combining with the RA-cluster and AODVjr routing protocol. This protocol selects the best neighbor in the terminal node and balances the network traffic when terminal node resource is constrained, using the relevance of the ad hoc network. The simulation results show that the agreement achieves load balancing of energy constrained nodes to a certain extent. Compared with the original AODVjr protocol, due to the best neighbor node delivery technology, the local network traffic gets a better balance and less time delay means better choice of routing.

scholarly journals Distributed Dynamic Traffic Modeling and Implementation Oriented Different Levels of Induced Travelers

2015 ◽  
Vol 2015 ◽  
pp. 1-8
Author(s):  
Yan Liu ◽  
Yao Yu
Keyword(s):  
Traffic Management ◽  
Traffic Assignment ◽  
Dynamic Traffic Assignment ◽  
Distributed Model ◽  
Traffic Network ◽  
Dynamic Traffic ◽  
Assignment Method ◽  
Proposed Model ◽  
Network Operation ◽  
Different Levels

In order to respond to the variable state of traffic network in time, a distributed dynamic traffic assignment strategy is proposed which can improve the intelligent traffic management. The proposed dynamic assignment method is based on utility theory and is oriented to different levels of induced users. A distributed model based on the marginal utility is developed which combines the advantages of both decentralized paradigm and traveler preference, so as to provide efficient and robust dynamic traffic assignment solutions under uncertain network conditions. Then, the solution algorithm including subroute update and subroute calculation is proposed. To testify the effectiveness of the proposed model in optimizing traffic network operation and minimizing traveler’s cost on different induced levels, a sequence numerical experiment is conducted. In the experiment, there are two test environments: one is in different network load conditions and the other is in different deployment coverage of local agents. The numerical results show that the proposed model not only can improve the running efficiency of road network but also can significantly decrease the average travel time.

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