Network Traffic Flow Evolution Model Considering OD Demand Mutation

2009 ◽  
Vol 29 (1) ◽  
pp. 118-123 ◽  
Author(s):  
Ren-yong GUO ◽  
Hai-jun HUANG
Keyword(s):  
Traffic Flow ◽  
Network Traffic ◽  
Evolution Model ◽  
Flow Evolution

scholarly journals Network Traffic Flow Evolution Model Based on Disequilibrium Theory

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Zhongxiang Huang ◽  
Jianhui Wu ◽  
Ruqing Huang ◽  
Yan Xu
Keyword(s):  
Traffic Flow ◽  
Unique Solution ◽  
Network Traffic ◽  
User Equilibrium ◽  
Price Regulation ◽  
Evolution Model ◽  
Evolution Process ◽  
Multiple User ◽  
Flow Evolution ◽  
Disequilibrium Theory

The disequilibrium theory in economics is used to depict the network traffic flow evolution process from disequilibrium to equilibrium. Three path choice behavior criteria are proposed, and the equilibrium traffic flow patterns formed by these three criteria are defined as price regulation user equilibrium, quantity regulation user equilibrium, and price-quantity regulation user equilibrium, respectively. Based on the principle of price-quantity regulation user equilibrium, the method of network tatonnement process is used to establish a network traffic flow evolution model. The unique solution of the evolution model is proved by using Picard’s existence and uniqueness theorem, and the stability condition of the unique solution is derived based on stability theorem of nonlinear system. Through numerical experiments, the evolution processes of network traffic flow under different regulation modes are analyzed. The results show that all the single price regulation, single quantity regulation, and price-quantity regulation can simulate the evolution process of network traffic flow. Price-quantity regulation is the combination of price regulation user equilibrium and quantity regulation user equilibrium, which thus can simulate the evolution process of network traffic flow with multiple user class.

scholarly journals A Traffic Flow Evolution Process toward Mixed Equilibrium with Multicriteria of Route Choice Behaviour

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Xiangjun Jiang ◽  
Zhongxiang Huang ◽  
Zhenyu Zhao
Keyword(s):  
Equilibrium State ◽  
Traffic Flow ◽  
Complete Information ◽  
User Equilibrium ◽  
Evolution Model ◽  
Choice Behaviour ◽  
Flow Evolution ◽  
Quantity Adjustment ◽  
Mixed Equilibrium ◽  
Equilibrium Pattern

Based on the price-quantity adjustment behaviour principle of disequilibrium theory, the route choices of travellers are also affected by a quantity signal known as traffic flow, while the route cost is considered as a price signal in economics. Considering the quantity signal’s effect among travellers, a new route comfort choice behaviour criterion and its corresponding equilibrium condition are established. The network travellers are classified into three groups according to their route choice behaviour: travellers in the first group choose the shortest route following the route rapidity behaviour criterion with complete information forming the UE (user equilibrium) pattern, travellers in the second group choose the most comfortable route following the route comfort behaviour criterion with complete information forming the QUE (quantity adjustment user equilibrium) pattern, and travellers in the third group choose a route according to their perceived travel time with incomplete information forming the SUE (stochastic user equilibrium) pattern. The traffic flows of all three groups converge to a new UE-QUE-SUE mixed equilibrium flow pattern after interaction. To depict the traveller-diversified choice behaviour and the traffic flow interaction process, a mixed equilibrium traffic flow evolution model is formulated. After defining the route comfort indicator and the corresponding user equilibrium state, the equilibrium conditions of the three group flows are given under a mixed equilibrium pattern. In addition, an equivalent mathematical programming of the mixed equilibrium traffic flow evolution model is proposed to demonstrate that the developed model converges to the mixed equilibrium state. Finally, numerical examples are examined to evaluate the effect of route comfort proportions on the traffic network flow evolution and analyse the performance of the proposed model.

The impact of travelers’ rationality degree heterogeneity in the Advanced Traveler Information System on the network traffic flow evolution

SIMULATION ◽  
2017 ◽  
Vol 93 (6) ◽  
pp. 447-457 ◽  
Author(s):  
Jianqiang Wang ◽  
Shiwei Li
Keyword(s):  
Information System ◽  
Traffic Flow ◽  
Network Traffic ◽  
Mixed Logit ◽  
Evolution Model ◽  
Traffic Information ◽  
Traveler Information ◽  
Integrated Simulation ◽  
Advanced Traveler Information System ◽  
The Impact

The interplay between traffic information, which is normally distributed by the Advanced Traveler Information System (ATIS) and travelers’ decision behaviors, is prone to lead to high complexity in the evolution process of network traffic flow. Considering the obvious heterogeneity that is reflected in the numerous ways that travelers adopt ATIS information and choose routes, the lognormal distribution is adopted to describe the heterogeneity of travelers’ rationality degree. Introducing habitual factors of traveler route choice, modeling ideas of Multi-Agent and Mixed Logit are utilized to construct the day-to-day evolution model of network traffic flow, which is based on the value difference of travelers’ cognitive travel time. Furthermore, an integrated simulation algorithm based on the Monte Carlo method is specially designed to solve the previous evolution model. The simulation indicates that a lower individual difference and a higher rationality degree would lead to a more obvious aggregation phenomenon of network traffic flow and inefficiency of operation in road networks.

An Improved Stacked Auto-Encoder for Network Traffic Flow Classification

IEEE Network ◽  
2018 ◽  
Vol 32 (6) ◽  
pp. 22-27 ◽  
Author(s):  
Peng Li ◽  
Zhikui Chen ◽  
Laurence T. Yang ◽  
Jing Gao ◽  
Qingchen Zhang ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Network Traffic ◽  
Flow Classification

Centralized to Decentralized Social Networks

2016 ◽  
pp. 37-54
Author(s):  
Maryam Qamar ◽  
Mehwish Malik ◽  
Saadia Batool ◽  
Sidra Mehmood ◽  
Asad W. Malik ◽  
...  
Keyword(s):  
Social Networks ◽  
Traffic Flow ◽  
Network Traffic ◽  
Online Social Networks ◽  
Research Work ◽  
Central Authority ◽  
Potential Threat ◽  
Privacy Breach ◽  
Natural Solution

This work covers the research work on decentralization of Online Social Networks (OSNs), issues with centralized design are studied with possible decentralized solutions. Centralized architecture is prone to privacy breach, p2p architecture for data and thus authority decentralization with encryption seems a possible solution. OSNs' users grow exponentially causing scalability issue, a natural solution is decentralization where users bring resources with them via personal machines or paid services. Also centralized services are not available unremittingly, to this end decentralization proposes replication. Decentralized solutions are also proposed for reliability issues arising in centralized systems and the potential threat of a central authority. Yet key to all problems isn't found, metadata may be enough for inferences about data and network traffic flow can lead to information on users' relationships. First issue can be mitigated by data padding or splitting in uniform blocks. Caching, dummy traffic or routing through a mix of nodes can be some possible solutions to the second.

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