Efficient Implementation of Method of Successive Averages in Simulation-Based Dynamic Traffic Assignment Models for Large-Scale Network Applications

2007 ◽  
Vol 2029 (1) ◽  
pp. 22-30 ◽  
Author(s):  
Hayssam Sbayti ◽  
Chung-Cheng Lu ◽  
Hani S. Mahmassani
Keyword(s):  
Large Scale ◽  
Dynamic Traffic Assignment ◽  
Efficient Implementation ◽  
Dynamic Traffic ◽  
Network Applications ◽  
Large Scale Network ◽  
Simulation Based ◽  
Scale Network ◽  
Method Of Successive Averages ◽  
Assignment Models

Integrated simulation-based dynamic traffic and transit assignment model for large-scale network

2020 ◽  
Vol 47 (8) ◽  
pp. 898-907 ◽  
Author(s):  
Islam Kamel ◽  
Amer Shalaby ◽  
Baher Abdulhai
Keyword(s):  
Large Scale ◽  
Traffic Assignment ◽  
Dynamic Traffic ◽  
Transit Assignment ◽  
Large Scale Network ◽  
Assignment Model ◽  
Morning Peak ◽  
Simulation Based ◽  
Scale Network ◽  
Assignment Models

Although the traffic and transit assignment processes are intertwined, the interactions between them are usually ignored in practice, especially for large-scale networks. In this paper, we build a simulation-based traffic and transit assignment model that preserves the interactions between the two assignment processes for the large-scale network of the Greater Toronto Area during the morning peak. This traffic assignment model is dynamic, user-equilibrium seeking, and includes surface transit routes. It utilizes the congested travel times, determined by the dynamic traffic assignment, rather than using predefined timetables. Unlike the static transit assignment models, the proposed transit model distinguishes between different intervals within the morning peak by using the accurate demand, transit schedule, and time-based road level-of-service. The traffic and transit assignment models are calibrated against actual field observations. The resulting dynamic model is suitable for testing different demand management strategies that impose dynamic changes on multiple modes simultaneously.

Study on the Transmission Data Collection Technique of Network Applications

2012 ◽  
Vol 546-547 ◽  
pp. 1453-1458
Author(s):  
Hai Yan Liu ◽  
Zhao Hong Yang ◽  
Hong Liu Cai
Keyword(s):  
Data Collection ◽  
Large Scale ◽  
Original System ◽  
Application Layer ◽  
Analysis And Evaluation ◽  
Network Applications ◽  
Large Scale Network ◽  
Transmission Data ◽  
Scale Network ◽  
Data Collection Technique

In Large-scale network applications, transmission data collection is the basis for audit, analysis and evaluation of systems and users. Transmission data collection can be carried out either on the link line or on the host where the network application is running. Collecting at different locations, the types of data acquired are different, thus need different processing. This paper first analyzes the different transmission data collection methods, their advantages as well as disadvantages. Then analyzes the structure of those network applications that are basing on transmission dynamic linked library, promotes the intermediate DLL method. Finally through an example it shows how to define the intermediate DLL to collect transferred data on application layer without affecting the original system function.

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