Design of Intelligent Transportation System based on Hadoop

Abstract

The rapid development of urban transport, while give people more and more convenient, have appeared in the urban traffic pressure is too large and cannot be efficient use of transport resources. In the face of very large scale travel, It has been the target of urban intelligent traffic system which can accurate and timely analysis of traffic status and traffic induced service for travelers to provide quality. This paper introduced the concept of "big data". The traffic data and to calculate is concentrated in the database. The use of graphs of the Hadoop distributed computing framework to flow processing of traffic data. The data processing platform packaging will be released to service into a whole and treated with distributed platform framework to ensure the timeliness and high fault tolerance. Introduction Car networking refers to through a variety of wireless communication technology, to realize information sharing of all the vehicle state information (including attribute information and static and dynamic information, etc.) and road traffic environment information (include the information of road infrastructure, traffic conditions, service information). According to the different functional requirements of all the vehicles running condition for effective supervision and comprehensive services, Car networking can be achieved with the car, car and road, the car and the exchange of information between people. It can help achieve "dialogue" between people, vehicle and road. Like the Internet connects every single computer, car networking can have independent car together. With development of advanced sensor technology, network technology, computing technology, control technology, intelligent technology, and car networking can achieved the comprehensive perception on the road and traffic, large scope, large capacity data between multiple systems of interaction. For every car traffic control all the way, on every road traffic control of time and space, give priority to in order to provide the traffic efficiency and traffic safety of network and application. Intelligent traffic originated by the information technology such as simulation, real-time control and communication network to solve the urban traffic congestion to try. Traffic congestion has become due to the worldwide problem of urbanization and motorization, and cause the low efficiency of traffic facilities, air pollution and fuel consumption increase. The outstanding characteristic of intelligent transportation is information collection, processing, distribution, exchange, analysis, and used as the main line, the diversity of service for the traffic participants and managers. With the popularization of vehicle-mounted mobile terminals, and other mobile devices, and application of sensor network technology, using mobile devices to access social network has gradually become the mainstream. At the same time, the use of GPS, mobile phone, mobile terminals provide activities such as public transportation card path information; can be predicted for some event or to infrastructure solutions such as rationality assessment. Mobile social network has brought a lot of research and application of new opportunities, such as location services, taxi abnormal trajectory recognition and detection, the optimal taxi passenger search strategy, etc. This thesis is based on vehicle networking platform, combined with the increasingly mature mobile social network for urban intelligent transportation provides basic data and information services. Is 5th International Conference on Education, Management, Information and Medicine (EMIM 2015) © 2015. The authors Published by Atlantis Press 516 mainly the related applications for motorists, and between different manufacturers of equipment, cannot connect between the acquisition didn't get the Shared data and to provide information services, car network still has a lot of a relatively independent private network with each other. If build a unified and open car networking, if you have not only the same brand, between different brands of cyclists can also establish a repeat information sharing and communication between, at the same time, car networking information will also be able to provide car free family data and services, to bring people's transportation is convenient. The main three scenario of the application has the following: (1) The bus stop, waiting for the car passenger login system, can check through the site bus routes, you can view all really moving vehicles on a route location, speed, and expected time of arrival in the site. (2) The outer car free people want to go back, must find appropriate traffic tools, at that time he can have three options. The first is through the system search nearby friends, driving out contact if they can get on the ride back, relying on the mobile social network. The second is search in no-load condition near the taxi, contact the driver come here they have. And the third is driving a bus to bus station to check the data on the bus. (3) The driver met traffic accident and traffic accident dispute, can take advantage of the system quickly contact in the nearby friends rushed to the scene, to help deal with related affairs. Leaving car owners also can monitor the movement of the vehicle and location information. System Architecture Enterprise Architect is a powerful tool for specifying, documenting and building your software and business process projects. Using Enterprise Architect's support for UML and its related standards, you can model new complex software and business systems, or visualize and maintain existing systems. Figure 1. System structure diagram As it can be seen from Figure 1, all kinds of vehicles will be obtained from GPS satellite positioning information through the mobile Internet upload to server, all kinds of mobile client is also through the mobile Internet access to relevant information of the vehicle from the server. Finally realize if you have Cluster server Mobile Internet Taxi equipment Bus equipment Private cars equipmen

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.2991/emim-15.2015.102 under the license https://creativecommons.org/licenses/by

• https://download.atlantis-press.com/article/21473.pdf

• https://www.atlantis-press.com/proceedings/emim-15/21473,

https://academic.microsoft.com/#/detail/807205959 under the license cc-by