scholarly journals 3D Digital Twin of Intelligent Transportation System based on Road-Side Sensing

2021 ◽  
Vol 2083 (3) ◽  
pp. 032022
Author(s):  
Yunpeng Guo ◽  
Kai Zou ◽  
Shengdong Chen ◽  
Feng Yuan ◽  
Fang Yu
Keyword(s):  
Virtual World ◽  
Intelligent Transportation System ◽  
Road Traffic ◽  
Intelligent Transportation ◽  
Physical World ◽  
Transportation System ◽  
Traffic Information ◽  
Digital Twin ◽  
Twin System ◽  
Infrastructure System

Abstract Cooperative vehicle-infrastructure is one of the most import developing direction of future intelligent transportation system, while digital twin system can record, reproduce, and even deduce the physical system, which could be helpful for the development of cooperative vehicle-infrastructure. In this study, we proposed a 3D digital twin platform of intelligent transportation system based on road-side sensing, a core component of cooperative vehicle-infrastructure system. This platform consists of real road-side sensing unit,3D virtual environment, and the ROS bridge between them, by receiving the sensing results of physical world in real-time, the virtual world can reproduce the compatible road traffic information, such as the type,3D position and orientation of traffic participants.

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.

A New Data Aggregation Model for Intelligent Transportation System

2013 ◽  
Vol 671-674 ◽  
pp. 2855-2859
Author(s):  
Jun Wu ◽  
Luo Zhong
Keyword(s):  
Information System ◽  
Data Aggregation ◽  
Wireless Sensors ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Transportation System ◽  
System Model ◽  
Traffic Information ◽  
Real Time Traffic ◽  
Aggregation Problem

Intelligent Transportation System is a new kind of complicated information system which includes many different wireless sensors. With the development in sensor technologies and their applications, it is important to focus on how to find the useful and real-time traffic information from the Intelligent Transportation System. Using this method of building dynamical data system model for the Intelligent Transportation System is the way to solve the data aggregation problem and minimize the number of the multi-sources data.

scholarly journals Emergency Situation Prediction Mechanism: A Novel Approach for Intelligent Transportation System Using Vehicular Ad Hoc Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
P. Ganeshkumar ◽  
P. Gokulakrishnan
Keyword(s):  
Ad Hoc ◽  
Intelligent Transportation System ◽  
Road Traffic ◽  
Emergency Situation ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Status Report ◽  
The Road ◽  
Death Toll ◽  
Prediction Mechanism

In Indian four-lane express highway, millions of vehicles are travelling every day. Accidents are unfortunate and frequently occurring in these highways causing deaths, increase in death toll, and damage to infrastructure. A mechanism is required to avoid such road accidents at the maximum to reduce the death toll. An Emergency Situation Prediction Mechanism, a novel and proactive approach, is proposed in this paper for achieving the best of Intelligent Transportation System using Vehicular Ad Hoc Network. ESPM intends to predict the possibility of occurrence of an accident in an Indian four-lane express highway. In ESPM, the emergency situation prediction is done by the Road Side Unit based on (i) the Status Report sent by the vehicles in the range of RSU and (ii) the road traffic flow analysis done by the RSU. Once the emergency situation or accident is predicted in advance, an Emergency Warning Message is constructed and disseminated to all vehicles in the area of RSU to alert and prevent the vehicles from accidents. ESPM performs well in emergency situation prediction in advance to the occurrence of an accident. ESPM predicts the emergency situation within 0.20 seconds which is comparatively less than the statistical value. The prediction accuracy of ESPM against vehicle density is found better in different traffic scenarios.

scholarly journals Сontrol of Intelligent Transport System in Minsk

2018 ◽  
Vol 17 (5) ◽  
pp. 401-412
Author(s):  
D. V. Kapskiy ◽  
D. V. Navoy ◽  
P. A. Pegin
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Management System ◽  
Intelligent Transportation System ◽  
Road Traffic ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Design System ◽  
Intelligent Transport System ◽  
Traffic Management System

The paper considers algorithms for searching a maximum traffic volume of road vehicles in a traffic light cycle with a distributed intensity pulse and optimization of shifts under coordinated traffic flow control. Modeling of traffic flows have been made while using a computer program developed by the authors and it has made it possible to improve efficiency of traffic management by taking into account the distributed pulse of transport intensity. The paper proposes a model for minimizing total losses in road traffic during the integration of an incident control sub-system and route guidance for and an automatic road traffic management system as part of Minsk intelligent transportation system which has been studied as a tool for modeling a computer-aided design system "Backbone management". The model that minimizes vehicle delays, uses an algorithm implementing traffic flow intensity parameters depending on the time of day, days of the week. As a result of the simulation it has been revealed that the most effective parameter is an indicator of vehicle delays which does not always satisfy drivers trying to choose routes of their traffic which are based on a minimum transportation speed. However, from the point of view of managing an intelligent transportation system, it is necessary to choose parameters based on the requirements for minimizing delays on the road traffic network of the largest city in our country. All the proposed algorithms and models are used in the automatic traffic management system of Minsk city and will be used while creating an integrated intellectual transportation system of the city.

scholarly journals Digital Twin System of Bridges Group based on Machine Vision Fusion Monitoring of Bridge Traffic Load

2021 ◽  
Author(s):  
Danhui Dan ◽  
Yufeng Ying ◽  
Liangfu Ge
Keyword(s):  
Machine Vision ◽  
Transportation Network ◽  
Physical Space ◽  
Intelligent Transportation ◽  
Transportation Infrastructure ◽  
Traffic Load ◽  
Digital Twin ◽  
Twin System ◽  
Traffic Loads ◽  
Infrastructure System

Bridges play an important role in transportation infrastructure systems. Intelligent and digital management of bridges group is an essential part of the future intelligent transportation infrastructure system. This paper proposes a digital twin system for bridges group in the regional transportation infrastructure network, which is interconnected by measured traffic loads. In physical space, a full-bridge traffic load monitoring system based on information fusion of weigh-in-motion (WIM) and multi-source heterogeneous machine vision is set up on the target bridge to measure traffic loads, also lightweight sensors are employed on the bridges group for structural response information. Furthermore, by establishing mechanical analysis models in the corresponding digital space and using the measured traffic loads as links, the working condition perception and safety warning of all bridges in the regional transportation network is achieved, forming an important support for further intelligent transportation infrastructure system. The proposed digital twin system has been preliminarily implemented in a bridges group around Shanghai, China, demonstrating the feasibility of the technical framework proposed in this paper and the bright prospects.

scholarly journals INTELLIGENT TRANSPORTATION SYSTEMS IN THE TRANSPORT PROCESS

2021 ◽  
Vol 1 (161) ◽  
pp. 212-217
Author(s):  
О. Stepanov ◽  
А. Venger
Keyword(s):  
Intelligent Transportation Systems ◽  
Road Safety ◽  
Transport Process ◽  
Intelligent Transportation System ◽  
Road Traffic ◽  
Modern Society ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Transportation Systems

The article is devoted to the consideration of the concept of "Intelligent transportation system" – ITS in modern society. The main world concepts of ITS development, which are aimed at the organization of road traffic in order to comply with road safety, are analyzed. The authors concluded that ITS is the most effective way to qualitatively solve road safety problems.

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