Analysis on Effectiveness of Intelligent Transport Systems on National Highways

2011 ◽  
Vol 271-273 ◽  
pp. 645-650
Author(s):  
Sung Han Lim
Keyword(s):  
Co2 Reduction ◽  
Information Provision ◽  
Economic Feasibility ◽  
Traffic Information ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Time Saving ◽  
Effect Analysis ◽  
Intelligent Transport ◽  
Fuel Savings

Intelligent transport systems(ITS) designed for solving traffic problems have actively been promoted in recent years. ITS is aimed at maximizing the use of existing transportation facilities by providing users with traffic information, and much effort is currently putting into the safety of users. However, there have been many difficulties in analyzing feasibility of ITS project since there was no methodology to calculate the effectiveness due to ITS construction. On this, a study on the methodology for effect analysis of ITS project is required. In this study, the method to quantify the effectiveness scale was suggested by selecting travel time saving, CO2 reduction, fuel savings and VMS information provision as benefit items for effect analysis on the national highway ITS project. As a result of analysis on the economic feasibility, it turned out that B/C ratio is 1.20, IRR 12.4% and NPV 1.48 billion won, which shows that the ITS construction project has economic feasibility.

scholarly journals Speed Profile Prediction in Intelligent Transport Systems Exemplified by Vehicle to Vehicle Interactions

2015 ◽  
Vol 15 (5) ◽  
pp. 63-77 ◽  
Author(s):  
Ivan Bosankic ◽  
Lejla Banjanovic-Mehmedovic ◽  
Fahrudin Mehmedovic
Keyword(s):  
Large Scale ◽  
Traffic Information ◽  
Transport Systems ◽  
Flow Density ◽  
High Temporal Resolution ◽  
Speed Profile ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Vehicle To Vehicle ◽  
Prediction Approach

Abstract Intelligent Transport Systems (ITS) fall in the framework of cyberphysical systems due to the interaction between physical systems (vehicles) and distributed information acquisition and dissemination infrastructure. With the accelerated development of wireless Vehicle-to-Vehicle (V2V) and Vehicle-to Infrastructure (V2I) communications, the integrated acquiring and processing of information is becoming feasible at an increasingly large scale. Accurate prediction of the traffic information in real time, such as the speed, flow, density has important applications in many areas of Intelligent Transport systems. It is a challenging problem due to the dynamic changes of the traffic states caused by many uncertain factors along a travelling route. In this paper we present a V2V based Speed Profile Prediction approach (V2VSPP) that was developed using neural network learning to predict the speed of selected agents based on the received signal strength values of communications between pairs of vehicles. The V2VSPP was trained and evaluated by using traffic data provided by the Australian Centre for Field Robotics. It contains vehicle state information, vehicle-to-vehicle communications and road maps with high temporal resolution for large numbers of interacting vehicles over a long time period. The experimental results show that the proposed approach (V2VSPP) has the capability of providing accurate predictions of speed profiles in multi-vehicle trajectories setup.

scholarly journals EUROPEAN ITS PLATFORM: RETHINKING ITS

2021 ◽  
Vol 1202 (1) ◽  
pp. 012001
Author(s):  
Orestis Giamarelos ◽  
Tobias Reiff
Keyword(s):  
Transport Infrastructure ◽  
Traffic Information ◽  
Transport Systems ◽  
Core Network ◽  
Design Development ◽  
Intelligent Transport Systems ◽  
Technical Standards ◽  
Intelligent Transport ◽  
Strategic Approach ◽  
The One

Abstract The expectations placed on the existing European transport infrastructure are increasing due to the growing mobility needs of the population on the one hand and the rising volume of freight traffic on the other. The aim of the European ITS Platform is to increase the efficiency of the TEN-T core network through a better use of the existing infrastructure by implementing Intelligent Transport Systems (ITS). It fosters interoperability and the development of uniform technical standards by monitoring and disseminating the results delivered by the five CEF ITS Road Corridor Projects. One major outcome is the drafting of the “Reference Handbook for harmonized ITS Core Service Deployment in Europe”. This digital freely available handbook comprises a series of guidance and advice for use by road authorities and operators to support them in the development of their strategic approach, design development, deployment, installation and operation of ITS and remain compliant with European legislation. Its key features include: Deployment Guidance for 14 different ITS Services, including DATEX reference profiles, Guidance on the provision and use of traffic information provided under the European Directive (2010/40/EU), C-ITS developments, Knowledge gained from the collection of 100 Best Practices etc.

Multiple vehicles detection and tracking for intelligent transport systems using machine learning approaches

2019 ◽  
Vol 70 (3) ◽  
pp. 214-224
Author(s):  
Bui Ngoc Dung ◽  
Manh Dzung Lai ◽  
Tran Vu Hieu ◽  
Nguyen Binh T. H.
Keyword(s):  
Machine Learning ◽  
Gaussian Mixture ◽  
Research Field ◽  
Transport Systems ◽  
Learning Approaches ◽  
Subtraction Method ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Detection And Tracking ◽  
Multiple Vehicles

Video surveillance is emerging research field of intelligent transport systems. This paper presents some techniques which use machine learning and computer vision in vehicles detection and tracking. Firstly the machine learning approaches using Haar-like features and Ada-Boost algorithm for vehicle detection are presented. Secondly approaches to detect vehicles using the background subtraction method based on Gaussian Mixture Model and to track vehicles using optical flow and multiple Kalman filters were given. The method takes advantages of distinguish and tracking multiple vehicles individually. The experimental results demonstrate high accurately of the method.

ASSESSMENT OF THE READINESS OF THE OREL CITY AGGLOMERATION TO IMPLEMENT INTELLIGENT TRANSPORT SYSTEMS

2020 ◽  
Vol 70 (3) ◽  
pp. 64-71
Author(s):  
A.S. BODROV ◽  
◽  
M.V. KULEV ◽  
D.S. DEVYATINA ◽  
O.A. LOBYNTSEVA ◽  
...  
Keyword(s):  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport
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