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 Management of Delay Optimization at Intersections

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3087 ◽  
Author(s):  
Łukasz Kuźmiński ◽  
Piotr Maśloch ◽  
Marek Bazan ◽  
Tomasz Janiczek ◽  
Krzysztof Halawa ◽  
...  
Keyword(s):  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Traffic Lights ◽  
Intelligent Transport ◽  
The Road ◽  
Vehicle Communication ◽  
Vehicle To Vehicle ◽  
Road Intersections ◽  
Novel Method ◽  
Vehicle To Infrastructure

Congestion extends the time of the journey for both people and goods. Therefore, transport solutions should be optimized. Management scientists and technical scientists worked together in order to develop a proprietary solution to increase efficiency in terms of productivity improvements for intelligent transport systems. The most fundamental functions of management have been paired with a detailed analysis of city traffic. The authors developed a method for determining the order of vehicles at traffic lights and connected it with vehicle-to-vehicle communication and GPS signals. As a result, a novel method to increase the throughput of intersections is presented. This solution generates a sound signal in order to inform the driver that the preceding car has started moving forward. The proposed solution leads to the shortening of the reaction time of the drivers waiting in a queue. This situation is most common at red lights. Consequently, the traffic simulation shows that the discharge of queues at traffic lights may be quicker by up to 13.5%. Notably, that proposed solution does not require any modification of the infrastructure as well as any additional devices for vehicle-to-infrastructure communication at the road intersections. To conclude, proper implementation of the proposed solution will certainly contribute to efficiency improvements within intelligent transport systems, with the potential to reduce traffic jams.

scholarly journals Effects of Fog in a Brazilian Road Segment Analyzed by a Driving Simulator for Sustainable Transport: Drivers’ Speed Profile under In-Vehicle Warning Systems

2021 ◽  
Vol 13 (19) ◽  
pp. 10501
Author(s):  
Felipe Calsavara ◽  
Felipe Issa Kabbach ◽  
Ana Paula C. Larocca
Keyword(s):  
Driving Simulator ◽  
Warning System ◽  
Weather Conditions ◽  
Severity Index ◽  
Road Segment ◽  
Transport Systems ◽  
Speed Profile ◽  
Warning Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport

Intelligent transport systems enable vehicles to communicate with each other and with the environment, ensuring road safety. Their implementation can help reduce the number of accidents, especially in stretches of s-curves, where speed control is essential to ensure the safety of drivers, and under hazardous weather conditions. Such systems promptly notify drivers about potentially dangerous road conditions, such as fog, so that they can better adapt their driving behavior. This study evaluates the driver’s speed profile in different scenarios (clear weather, fog weather, and fog with an in-vehicle fog warning system) considering the road geometry elements (s-curves). A driving simulator recreated the real scenarios of a principal Brazilian road segment, showing the geometric and weather conditions of a road known for its several s-curves and frequent incidence of fog. A preliminary study identified the most critical curves through a weighted severity index methodology to define the critical segment. The results showed drivers considerably reduced their speed in the scenario with a warning system, thus contributing to the safety of s-curved segments. The implementation of in-vehicle warning systems can avoid or reduce the need for major infrastructure interventions such as geometric design, through investments in new intelligent transport systems.

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 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.

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