Traffic Condition Assessment Based on Support Vectors Machine Using Intelligent Transportation System Data

2018 ◽  
pp. 69-83
Author(s):  
Deng Lei ◽  
Weihua Zhong
Keyword(s):  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Condition Assessment ◽  
Transportation System ◽  
Traffic Condition ◽  
Support Vectors ◽  
System Data

Fuel-optimal path finding algorithm using traffic information at urban intersection

2019 ◽  
Author(s):  
Jooin Lee ◽  
Hyeongcheol Lee
Keyword(s):  
Fuel Consumption ◽  
Intelligent Transportation System ◽  
Optimal Path ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Traffic Model ◽  
Traffic Information ◽  
Traffic Condition ◽  
Decision Algorithm ◽  
The Road

Intelligent Transportation System (ITS) is actively studied as the sensor and communication technology in the vehicle develops. The Intelligent Transportation System collects, processes, and provides information on the location, speed, and acceleration of the vehicles in the intersection. This paper proposes a fuel optimal route decision algorithm. The algorithm estimates traffic condition using information of vehicles acquired from several ITS intersections and determines the route that minimizes fuel consumption by reflecting the estimated traffic condition. Simplified fuel consumption models and road information (speed limit, average speed, etc.) are used to estimate the amount of fuel consumed when passing through the road. Dynamic Programming (DP) is used to determine the route that fuel consumption can be minimized. This algorithm has been verified in an intersection traffic model that reflects the actual traffic environment (Korea Daegu Technopolis) and the corresponding traffic model is modeled using AIMSUN.

Development of Intelligent Transportation System Data Management

1998 ◽  
Vol 1625 (1) ◽  
pp. 124-130 ◽  
Author(s):  
Robert E. Brydia ◽  
Shawn M. Turner ◽  
William L. Eisele ◽  
Jyh C. Liu
Keyword(s):  
Data Management ◽  
Urban Areas ◽  
Intelligent Transportation System ◽  
San Antonio ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Data Management System ◽  
Transportation Management ◽  
User Costs ◽  
System Data

The intelligent transportation system (ITS) components deployed in U.S. urban areas produce vast amounts of data. These ITS data often are used for real-time operations and then are discarded. Few transportation management centers have any mechanism for sharing the data resources among other transportation groups or agencies within the same jurisdiction. Meanwhile, transportation analysts and researchers often struggle to obtain accurate, reliable data about existing transportation performance and patterns. The development of an ITS data management system (referred to as ITS DataLink) that is used to store, access, analyze, and present data from the TransGuide center in San Antonio, Texas, is presented. Data outputs are both tabular and graphical. No user costs are associated with the system except for an Internet connection.

Research on Traffic Condition Recognition Algorithm Based on the Internet of Things

2014 ◽  
Vol 926-930 ◽  
pp. 3228-3231
Author(s):  
Dong Wang ◽  
Jiang Wu
Keyword(s):  
Internet Of Things ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Recognition Algorithm ◽  
Internet Technology ◽  
The Internet ◽  
Generation Model ◽  
Traffic Condition ◽  
Traffic Guidance

The article provides an overview of integration in the field of Internet technology and its trend, combined with the successful application of intelligent transportation system case system provides next - generation model of intelligent transportation system based on Internet of Things, details the functions and features of each subsystem, a case study of typical traffic guidance applications, describes the model and key technology of the Internet of its implementation.

Fine-grained vehicle emission management using intelligent transportation system data

2018 ◽  
Vol 241 ◽  
pp. 1027-1037 ◽  
Author(s):  
Shaojun Zhang ◽  
Tianlin Niu ◽  
Ye Wu ◽  
K. Max Zhang ◽  
Timothy J. Wallington ◽  
...  
Keyword(s):  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Vehicle Emission ◽  
Fine Grained ◽  
System Data
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