Study on the Implement Technologies of Urban Traffic Flow Guidance System

2002 ◽  
Author(s):  
Zhaosheng Yang ◽  
Daosong Ma
Keyword(s):  
Traffic Flow ◽  
Urban Traffic ◽  
Guidance System

Analysis of Dynamic Impedance Functions in Urban Traffic Flow Guidance System

2012 ◽  
Vol 238 ◽  
pp. 503-506 ◽  
Author(s):  
Zhi Cheng Li
Keyword(s):  
Traffic Flow ◽  
Network Model ◽  
Large Scale ◽  
Choice Model ◽  
Transportation Systems ◽  
Urban Traffic ◽  
Guidance System ◽  
Traffic Network ◽  
Dynamic Traffic ◽  
Run Time

The successful application of Intelligent Transportation Systems (ITS) depends on the traffic flow at any time with high-precision and large-scale assessments, it is necessary to create a dynamic traffic network model to evaluate and forecast traffic. Dynamic route choice model sections of the run-time function are very important to the dynamic traffic network model. To simplify the dynamic traffic modeling, improve the calculation accuracy and save computation time, the flow on the section of the interrelationship between the exit flow and number of vehicles are analyzed, a run-time functions into the flow using only sections of the said sections are established.

Study on Path Optimization Method of Urban Traffic Flow Guidance System Based on Internet of Things

2014 ◽  
Vol 624 ◽  
pp. 557-560
Author(s):  
Dan Ping Wang ◽  
Kun Yuan Hu
Keyword(s):  
Traffic Flow ◽  
Optimization Method ◽  
Urban Traffic ◽  
Route Optimization ◽  
Path Optimization ◽  
Guidance System ◽  
Traffic Information ◽  
Advantages And Disadvantages ◽  
Traffic Guidance ◽  
Service Application

This paper analyzes the existing traffic guidance systems and conducts a detailed explanation of things based on traffic flow guidance system and describes its characteristics and advantages and disadvantages. After a comparison beteween them, this paper designs the optimal way and introduce its features detaily. On this basis, this paper studies the structure and composition traffic information system, including the service application platform designed to induce traffic information systems and traffic information collection system and vehicle location system to provide basic information on traffic flow guidance system design. This paper analyzes the general method of route optimization to build a theoretical model based route optimization and this lay a foundation for things urban traffic guidance system path optimization.

scholarly journals An Eco-Friendly Multimodal Route Guidance System for Urban Areas Using Multi-Agent Technology

2021 ◽  
Vol 11 (5) ◽  
pp. 2057
Author(s):  
Abdallah Namoun ◽  
Ali Tufail ◽  
Nikolay Mehandjiev ◽  
Ahmed Alrehaili ◽  
Javad Akhlaghinia ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Urban Areas ◽  
Urban Environments ◽  
Ease Of Use ◽  
Transport Infrastructure ◽  
Guidance System ◽  
Planning System ◽  
Flow Density ◽  
Route Guidance ◽  
Agent Based

The use and coordination of multiple modes of travel efficiently, although beneficial, remains an overarching challenge for urban cities. This paper implements a distributed architecture of an eco-friendly transport guidance system by employing the agent-based paradigm. The paradigm uses software agents to model and represent the complex transport infrastructure of urban environments, including roads, buses, trolleybuses, metros, trams, bicycles, and walking. The system exploits live traffic data (e.g., traffic flow, density, and CO2 emissions) collected from multiple data sources (e.g., road sensors and SCOOT) to provide multimodal route recommendations for travelers through a dedicated application. Moreover, the proposed system empowers the transport management authorities to monitor the traffic flow and conditions of a city in real-time through a dedicated web visualization. We exhibit the advantages of using different types of agents to represent the versatile nature of transport networks and realize the concept of smart transportation. Commuters are supplied with multimodal routes that endeavor to reduce travel times and transport carbon footprint. A technical simulation was executed using various parameters to demonstrate the scalability of our multimodal traffic management architecture. Subsequently, two real user trials were carried out in Nottingham (United Kingdom) and Sofia (Bulgaria) to show the practicality and ease of use of our multimodal travel information system in providing eco-friendly route guidance. Our validation results demonstrate the effectiveness of personalized multimodal route guidance in inducing a positive travel behavior change and the ability of the agent-based route planning system to scale to satisfy the requirements of traffic infrastructure in diverse urban environments.

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