The Research of Algorithm of Optimum Route Calculation in Express Traffic System Based on Time Measure

2014 ◽  
Vol 568-570 ◽  
pp. 807-811
Author(s):  
Kai Kuang Zhang ◽  
Hong Ling Meng ◽  
Ming Ting Ba
Keyword(s):  
Euclidean Distance ◽  
Road Traffic ◽  
Route Planning ◽  
Highway Traffic ◽  
Traffic Condition ◽  
Traffic System ◽  
Time Consumption ◽  
Optimum Route

The express traffic system could divide into highway traffic system and ordinary road traffic system, which have different linkage attributes and traffic attributes for segments and nodes. The time consumption space of traveling in the system is a non-Euclidean distance space. From the traffic condition of the express traffic system, the foundation data, principles and methods of NEDS algorithm are introduced. The steps and methods of optimum route planning in the express traffic system are deeply discussed. At the end, an example of optimum route planning in Henan express traffic system is given.

A Route Planning and Driver Information System for PLEIADES

1994 ◽  
Vol 47 (2) ◽  
pp. 159-164 ◽  
Author(s):  
Michael Ness ◽  
Martin Herbert
Keyword(s):  
Information System ◽  
Low Cost ◽  
Route Planning ◽  
Planning System ◽  
Gps Receiver ◽  
Traffic Condition ◽  
Position Information ◽  
Network Information ◽  
Optimum Route ◽  
Driver Information System

This paper describes a low-cost, in-vehicle route planning and driver information system being developed for use within the DRIVE PLEIADES (London–Paris corridor) project. The system integrates vehicle position information from a GPS receiver, traffic condition messages broadcast from both RDS-TMC and radio paging, and road network information from a route planning system. Instructions describing the route to be followed are presented to the driver on a dashboard-mounted LCD and in spoken form. The system tracks the calculated optimum route and gives instructions for the next section of the route to be covered. The optimum route is continuously recalculated, reacting to TMC messages and the vehicle's location.

Highway Traffic Prediction Model for Transportation and Accident Management System

2020 ◽  
pp. 38-43
Author(s):  
Abdulhaq Abildtrup ◽  
Iben Charlotte Alminde
Keyword(s):  
Road Traffic ◽  
Weighted Average ◽  
Semantic Interpretation ◽  
Traffic Prediction ◽  
Prediction System ◽  
Highway Traffic ◽  
Time Data ◽  
Traffic Condition ◽  
The Public ◽  
Alert Message

In this emerging world, peoples are running behind the time and wasted their time in travelling. Drastic increase in population results in rapid increase of number of vehicles. A semantic based road traffic model is proposed to predict the traffic and to inform the public about the current traffic condition to all persons who belongs to the same lane. Real time data is acquired from Ultrasonic, PIR sensor and camera. Proposed system uses the vehicle count, distance between the vehicles and speed of the vehicle from both sensors and camera and it applies semantic interpretation of those data uses moving weighted average model to predict the traffic condition. To have time efficient prediction, the work is experimented in Apache Spark which will reduce disk latency when compared to Hadoop. Prediction result is sent it as alert message to the public as a location-based messages. So, public will receive message even they don’t have smart phone. Therefore, the traffic prediction system results are more helpful in goods transportation and accident prediction system etc.

scholarly journals Exploring the Distribution of Traffic Flow for Shared Human and Autonomous Vehicle Roads

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3425
Author(s):  
Huanping Li ◽  
Jian Wang ◽  
Guopeng Bai ◽  
Xiaowei Hu
Keyword(s):  
Traffic Flow ◽  
Autonomous Vehicles ◽  
Flow Model ◽  
Road Traffic ◽  
Autonomous Vehicle ◽  
Transformation Model ◽  
Hydrodynamic Theory ◽  
Traffic Flow Model ◽  
Traffic System ◽  
The Stability

In order to explore the changes that autonomous vehicles would bring to the current traffic system, we analyze the car-following behavior of different traffic scenarios based on an anti-collision theory and establish a traffic flow model with an arbitrary proportion (p) of autonomous vehicles. Using calculus and difference methods, a speed transformation model is established which could make the autonomous/human-driven vehicles maintain synchronized speed changes. Based on multi-hydrodynamic theory, a mixed traffic flow model capable of numerical calculation is established to predict the changes in traffic flow under different proportions of autonomous vehicles, then obtain the redistribution characteristics of traffic flow. Results show that the reaction time of autonomous vehicles has a decisive influence on traffic capacity; the q-k curve for mixed human/autonomous traffic remains in the region between the q-k curves for 100% human and 100% autonomous traffic; the participation of autonomous vehicles won’t bring essential changes to road traffic parameters; the speed-following transformation model minimizes the safety distance and provides a reference for the bottom program design of autonomous vehicles. In general, the research could not only optimize the stability of transportation system operation but also save road resources.

Road Inspection Scheduling Model Using Constraint Programming

2013 ◽  
Vol 357-360 ◽  
pp. 2720-2725
Author(s):  
Hsi Sung Wang ◽  
Shu Shun Liu
Keyword(s):  
Constraint Programming ◽  
Route Planning ◽  
Inspection Time ◽  
Time Consumption ◽  
The Road ◽  
Scheduling Model ◽  
Inspection Process ◽  
Road Inspection ◽  
Solution Mechanism ◽  
Inspection Scheduling

The research objective is to support the maintenance unit with route planning prior to performing road inspection, the model is based on VRP problem settings, and with the addition of compulsory road sections and allowing shortcuts through small pathways during the inspection to reduce time consumption. By employing Constraint Programming (CP) technology and optimization solution mechanism to construct inspection scheduling model, and the objective is to minimize time consumption of the road inspection. The province and county roads in Douliou city are chosen as examples for analysis, plans out best routes for inspection process, and also displays all the road sections passed by inspection vehicle. Thus this model can be used as reference to support the authorities to efficiently allocate resources for the inspection process, and achieve the objective as shorten the inspection time consumption.

scholarly journals An autonomous navigational system using GPS and computer vision for futuristic road traffic

2022 ◽  
Vol 12 (1) ◽  
pp. 179
Author(s):  
Prabha Ramasamy ◽  
Mohan Kabadi
Keyword(s):  
Computer Vision ◽  
Global Positioning System ◽  
Navigation System ◽  
Autonomous Navigation ◽  
Road Traffic ◽  
Positioning System ◽  
Traffic System ◽  
Global Positioning ◽  
Navigational System

Navigational service is one of the most essential dependency towards any transport system and at present, there are various revolutionary approaches that has contributed towards its improvement. This paper has reviewed the global positioning system (GPS) and computer vision based navigational system and found that there is a large gap between the actual demand of navigation and what currently exists. Therefore, the proposed study discusses about a novel framework of an autonomous navigation system that uses GPS as well as computer vision considering the case study of futuristic road traffic system. An analytical model is built up where the geo-referenced data from GPS is integrated with the signals captured from the visual sensors are considered to implement this concept. The simulated outcome of the study shows that proposed study offers enhanced accuracy as well as faster processing in contrast to existing approaches.

scholarly journals Accurate Real-Time Traffic Speed Estimation Using Infrastructure-Free Vehicular Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-19 ◽  
Author(s):  
Zongjian He ◽  
Buyang Cao ◽  
Yan Liu
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Vehicular Networks ◽  
Route Planning ◽  
Speed Estimation ◽  
Traffic Condition ◽  
Real Time Traffic ◽  
Traffic Trace ◽  
Traffic Speed ◽  
Traffic Speed Estimation

Real-time traffic speed is indispensable for many ITS applications, such as traffic-aware route planning and eco-driving advisory system. Existing traffic speed estimation solutions assume vehicles travel along roads using constant speed. However, this assumption does not hold due to traffic dynamicity and can potentially lead to inaccurate estimation in real world. In this paper, we propose a novel in-network traffic speed estimation approach using infrastructure-free vehicular networks. The proposed solution utilizes macroscopic traffic flow model to estimate the traffic condition. The selected model only relies on vehicle density, which is less likely to be affected by the traffic dynamicity. In addition, we also demonstrate an application of the proposed solution in real-time route planning applications. Extensive evaluations using both traffic trace based large scale simulation and testbed based implementation have been performed. The results show that our solution outperforms some existing ones in terms of accuracy and efficiency in traffic-aware route planning applications.

scholarly journals Road Traffic Analysis Using Computer Vision

2021 ◽  
Vol 9 (8) ◽  
pp. 2002-2006
Author(s):  
Needhi U. Gaonkar
Keyword(s):  
Computer Vision ◽  
Traffic Flow ◽  
Traffic Management ◽  
Road Traffic ◽  
Vehicle Detection ◽  
Traffic Analysis ◽  
Transportation Systems ◽  
Visual Object ◽  
Highway Traffic ◽  
Analysis System

Abstract: Traffic analysis plays an important role in a transportation system for traffic management. Traffic analysis system using computer vision project paper proposes the video based data for vehicle detection and counting systems based on the computer vision. In most Transportation Systems cameras are installed in fixed locations. Vehicle detection is the most important requirement in traffic analysis part. Vehicle detection, tracking, classification and counting is very useful for people and government for traffic flow, highway monitoring, traffic planning. Vehicle analysis will supply with information about traffic flow, traffic summit times on road. The motivation of visual object detection is to track the vehicle position and then tracking in successive frames is to detect and connect target vehicles for frames. Recognising vehicles in an ongoing video is useful for traffic analysis. Recognizing what kind of vehicle in an ongoing video is helpful for traffic analysing. this system can classify the vehicle into bicycle, bus, truck, car and motorcycle. In this system I have used a video-based vehicle counting method in a highway traffic video capture using cctv camera. Project presents the analysis of tracking-by-detection approach which includes detection by YOLO(You Only Look Once) and tracking by SORT(simple online and realtime tracking) algorithm. Keywords: Vehicle detection, Vehicle tracking, Vehicle counting, YOLO, SORT, Analysis, Kalman filter, Hungarian algorithm.

scholarly journals EVALUATING THE EFFECT OF HEAVY VEHICLES ON TRAFFIC PARAMETERS BY USING HEAVY VEHICLE FACTOR

2018 ◽  
Vol 6 (4) ◽  
pp. 95-104
Author(s):  
Parthkumar Patel ◽  
H.R. Varia
Keyword(s):  
Travel Time ◽  
Traffic Flow ◽  
Road Traffic ◽  
Freight Transport ◽  
Heavy Vehicle ◽  
Mixed Traffic ◽  
Heavy Vehicles ◽  
Highway Traffic ◽  
Ideal Situation ◽  
The Impact

Safe, convenient and timely transportation of goods and passengers is necessary for development of nation. After independence road traffic is increased manifold in India. Modal share of freight transport is shifted from Railway to roadways in India. Road infrastructures continuously increased from past few decades but there is still need for new roads to be build and more than three forth of the roads having mixed traffic plying on it. The impact of freight vehicles on highway traffic is enormous as they are moving with slow speeds. Nature of traffic flow is dependent on various traffic parameters such as speed, density, volume and travel time etc. As per ideal situation these traffic parameters should remain intact, but it is greatly affected by presence of heavy vehicle in mixed traffic due to Svehicles plying on two lane roads. Heavy vehicles affect the traffic flow because of their length and size and acceleration/deceleration characteristics.  This study is aimed to analyse the impact of heavy vehicles on traffic parameters.

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