Traffic Information Collection System for Congestion Identification and Relief

Tian Jiang; Jing An; Hao Zhi Zhang; Zhen Guo Qian

doi:10.4028/www.scientific.net/AMM.178-181.2680

Paper Titles

Research on Construction of Mobile Payment System Based on the Phone Financial IC Card
p.2658

The Research on Electronic Commerce Logistics Integration Mode of the Automobile Manufacturing Enterprises
p.2664

Research on the Combination Model of Short-Term Traffic Flow Forecasting
p.2668

Research and Design Embedded Security Computer Based on TMR for Train-Ground Communication System
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Traffic Information Collection System for Congestion Identification and Relief
p.2680

Research on Dynamic Traffic Flow Forecasting Based on Improved Particle Swarm Optimization Algorithm and Neural Network Theory
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Mobile Information System for Sustainable Project Management
p.2690

Multi-Scenarios Vehicle Traces Modeling in Co-Simulation of Vehicular Ad-Hoc Networks
p.2694

Modified Monkey Algorithm and its Application to the Optimal Sensor Placement
p.2699

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 178-181Traffic Information Collection System for...

Traffic Information Collection System for Congestion Identification and Relief

Abstract:

While research focuses on using available traffic data sources to identify and relieve traffic congestion, less work is devoted answering the question of how and where to collect traffic data, so that traffic control systems can perform in an optimal, and cost-efficient manner. In this paper, We present a framework to assess traffic detection systems, by introducing the level of detection as value to allow for an objective comparison of multiple detector placement scenarios. The framework allows the usage of the framework for network operations, as well as planning purposes. By translating traffic operation goals into data demand functions, and detector capabilities, combined with their location, into data supply functions, it is possible to optimize detector locations with well know tools from operations research. The latter one is important, since it allows for including additional boundary conditions, such as costs.

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Periodical:

Applied Mechanics and Materials (Volumes 178-181)

Pages:

2680-2685

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.178-181.2680

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Online since:

May 2012

Authors:

Tian Jiang, Jing An, Hao Zhi Zhang, Zhen Guo Qian

Keywords:

Congestion, Data Collection, ITS

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References

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