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.

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.

scholarly journals Research and Application of the Beijing Road Traffic Prediction System

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Ruimin Li ◽  
Hongliang Ma ◽  
Huapu Lu ◽  
Min Guo
Keyword(s):  
Traffic Management ◽  
Web Application ◽  
Prediction Models ◽  
Road Traffic ◽  
Traffic Prediction ◽  
Accurate Estimation ◽  
Prediction System ◽  
Traveler Information ◽  
Level Data ◽  
Function Modules

As an important part of the urban Advanced Traffic Management Systems (ATMS) and Advanced Traveler Information Systems (ATIS), short-term road traffic prediction system has received special attention in recent decades. The success of ATMS and ATIS technology deployment is heavily dependent on the availability of timely and accurate estimation or prediction of prevailing and emerging traffic conditions. We studied a real-time road traffic prediction system developed for Beijing based on various traffic detection systems. The logical architecture of the system was presented, including raw data level, data processing and calculation level, and application level. Four key function servers were introduced, namely, the database server, calculation server, Geographic Information System (GIS) server, and web application server. The functions, function modules, and the data flow of the proposed traffic prediction system were analyzed, and subsequently prediction models used in this system are described. Finally, the prediction performance of the system in practice was analyzed. The application of the system in Beijing indicated that the proposed and developed system was feasible, robust, and reliable in practice.

scholarly journals A Dynamic Mobility Traffic Model Based on Two Modes of Transport in Smart Cities

Smart Cities ◽  
2021 ◽  
Vol 4 (1) ◽  
pp. 253-270
Author(s):  
Mohammed Bin Hariz ◽  
Dhaou Said ◽  
Hussein T. Mouftah
Keyword(s):  
Data Exchange ◽  
Smart Cities ◽  
Time Data ◽  
School Bus ◽  
The Public ◽  
Ride Sharing ◽  
Dynamic Mobility ◽  
Proposed Model ◽  
Loading System ◽  
Suitable Combination

This paper focuses on transportation models in smart cities. We propose a new dynamic mobility traffic (DMT) scheme which combines public buses and car ride-sharing. The main objective is to improve transportation by maximizing the riders’ satisfaction based on real-time data exchange between the regional manager, the public buses, the car ride-sharing and the riders. OpenStreetMap and OMNET++ were used to implement a realistic scenario for the proposed model in a city like Ottawa. The DMT scheme was compared to a multi-loading system used for a school bus. Simulations showed that rider satisfaction was enhanced when a suitable combination of transportation modes was used. Additionally, compared to the other scheme, this DMT scheme can reduce the stress level of car ride-sharing and public buses during the day to the minimal level.

scholarly journals Sustainable public health partnerships: Results from 41 European, Asian and American regions

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Ese ◽  
C Ihlebak
Keyword(s):  
Public Health ◽  
Public Sector ◽  
Social Contexts ◽  
Research Literature ◽  
Person Fit ◽  
Time Data ◽  
Incentive Schemes ◽  
The Public ◽  
Health Partnerships ◽  
Group Interviews

Abstract Background Public health problems often constitute so called “wicked problems”, and the importance of involving multiple stakeholders in order to address such problems is acknowledged, for instance through the SDG17 guidelines. Partnerships between academia and the public sector have been deemed especially promising. However, sustainable partnerships might be difficult due to divergent understandings and interests. Although there is a substantial research literature on academic-public partnerships in general, partnerships addressing public health specifically are less investigated. The aim of the project was therefore to identify enablers for sustainable public health partnerships between academia and the public sector. Methods A mixed methods design was used. A survey regarding partnerships was sent to 41 European, Asian and American regions, with a response rate of 72 %. Based on survey data, an interview guide was developed and four best cases (Canada, Bulgaria, the Netherlands and Norway) were identified. Site visits and group interviews with representatives from stakeholders of the partnerships were conducted. Interview data and answers to open ended questions from questionnaires were analysed. Results Three main findings became apparent through the analysis. Important enablers were: 1) person-to-person fit between individuals, 2) national incentive schemes for collaboration, and 3) formal partnership agreements that provided a framework that allowed for manoeuvring. The enablers identified are on a macro, miso and micro level. Furthermore, they can be categorised as political, organisational, and social. Conclusions The data support the notion that partnerships are complex social structures that need to be initiated and managed on different levels and with different measures. At the same time, data demonstrate that across different geographical, political, and social contexts the same enablers are reappearing as important for sustaining public health partnerships. Key messages Similar enablers for sustaining public health partnerships are found across geographical, political, and social contexts. Important enablers for partnerships are person-to-person fit, national incentive schemes, and formal agreements.

scholarly journals Drink, but don't drive? The alcohol industry’s involvement in global road safety

2020 ◽  
Author(s):  
Connie Hoe ◽  
Niloufer Taber ◽  
Sarah Champagne ◽  
Abdulgafoor M Bachani
Keyword(s):  
Public Health ◽  
Road Safety ◽  
Road Traffic ◽  
Expert Interviews ◽  
Mixed Methods Approach ◽  
The Public ◽  
Alcohol Industry ◽  
Alcohol Control ◽  
Mapping Review ◽  
Shed Light

Abstract Drink-driving is a major cause of global road traffic fatalities, yet few countries have laws that meet international best practices. One possible reason is the alcohol industry’s opposition to meaningful policies that are perceived to directly threaten sales. Our primary objectives are to document alcohol industry involvement in global road safety policies and programmes and to critically evaluate the responses of public health and road safety communities to this involvement. Under the guidance of the Policy Dystopia Model, we used a mixed methods approach in which data were gathered from expert interviews and a mapping review of 11 databases, 5 watchdog websites and 7 alcohol industry-sponsored initiatives. Triangulation was used to identify points of convergence among data sources. A total of 20 expert interviews and 94 documents were analysed. Our study showed that the alcohol industry acknowledges that drink-driving is an issue but argues for solutions that would limit impact on sales, akin to the message ‘drink—but do not drive’. Industry actors have been involved in road safety through: (1) coalition coupling and decoupling, (2) information production and management, (3) direct involvement in policymaking and (4) implementation of interventions. Our study also shed light on the lack of cohesion within and among the public health and road safety communities, particularly with regard to the topics of receiving funding from and partnering with the alcohol industry. These results were subsequently used to adapt the Policy Dystopia Model as a conceptual framework that illustrates the ways in which the alcohol industry has been involved in global road safety. Several implications can be drawn from this study, including the urgent need to increase awareness about the involvement of the alcohol industry in road safety and to build a cohesive transnational alcohol control advocacy alliance to curb injuries and deaths related to drink-driving.

scholarly journals Site Selection of Waste-to-Energy (WtE) Plant considering Public Satisfaction by an Extended VIKOR Method

2018 ◽  
Vol 2018 ◽  
pp. 1-17 ◽  
Author(s):  
Yunna Wu ◽  
Lei Qin ◽  
Chuanbo Xu ◽  
Shaoyu Ji
Keyword(s):  
Site Selection ◽  
Weighted Average ◽  
Computational Procedure ◽  
Waste To Energy ◽  
Weighted Averaging ◽  
Vikor Method ◽  
The Public ◽  
Evaluation Group ◽  
Whole Life Cycle ◽  
Selection Of

Site selection of waste-to-energy (WtE) plant is critically important in the whole life cycle. Some research has been launched in the WtE plant site selection, but there is still a serious problem called Not In My Back Yard (NIMBY) effect that needs to be solved. To solve the problem, an improved multigroup VIKOR method is proposed to choose the optimal site and compromised sites. In the proposed method, the public satisfaction is fully considered where the public is invited as an evaluation group far more than creating general indicators to represent the public acceptance. First of all, an elaborate criteria system is built to evaluate site options comprehensively and the weights of criteria are identified by Analytic Hierarchy Process (AHP) method. Then, the interval 2-tuple linguistic information is adopted to assess the ratings for the established criteria. The interval 2-tuple linguistic ordered weighted averaging (ITL-OWA) operator is utilized to aggregate the opinions of evaluation committee while the opinions of the public are aggregated using weighted average operator. Finally, a case from south China which shows the computational procedure and the effectiveness of the proposed method is proved. Last but not least, a sensitivity analysis is conducted by comparing the results with different weights of evaluation group assessments.

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.

scholarly journals Management of jaw fractures in oral surgery in public and private practice: a retrospective study from 2006 to 2017

2019 ◽  
Vol 26 (1) ◽  
pp. 3
Author(s):  
Corentin Buron ◽  
Christian Mounier ◽  
Carine Guiavarc'h ◽  
Cédric Lansonneur ◽  
Matthieu Conan ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Public Hospital ◽  
Road Traffic ◽  
Private Hospitals ◽  
Public And Private ◽  
The Public ◽  
Jaw Fractures ◽  
The Mean

Introduction: To date, no epidemiological studies on jaw fracture have examined its characteristics according to hospital status (public vs private). The aim of this study was to examine their differences in terms of patient- and injury-related variables. Methods: A retrospective study was conducted using patients' medical records in 2 types of hospital located in the northern area of Brittany (France). All patients hospitalized for jaw fracture between 2006 and 2017 were eligible. Comparisons between centres according to age, gender, anatomic location of fracture, mechanism of injury, and length of stay were undertaken using χ2, Fisher exact test, t-test, and Cochrane-Armitage trend test. Results: A total of 142 patients were included: 45.1% in the public and 54.9% in the private hospitals. Of them, 84.5% were men and the mean age was 32.0. Main causes of fractures were assault (56.3%), fall (30.3%) and road traffic accident (10%). A small number of patients had polytrauma (4.2%). The mean duration of stay was less than 2 days. Compared to patients who were admitted in private hospital, those who were likely to be admitted in public hospital were those: who had a jaw fracture in context of road traffic accident (18.8% vs 2.6%), with polytrauma (9.4% vs 0.0%) and maxilla fracture (9.4% vs 1.3%), and who had a longer stay (2.2 vs 1.1 days). Conclusion: This study showed that differences observed in characteristics of jaw fractures between public and private hospitals may be due to recruitment process: more severely affected patients are likely to be admitted in the public hospital.

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