›› 2018,Vol. 33 ›› Issue (2): 249-262.doi: 10.1007/s11390-018-1817-4

所属专题： Artificial Intelligence and Pattern Recognition； Computer Networks and Distributed Computing

• Special Section on Computer Networks and Distributed Computing • 上一篇    下一篇

一款基于车载自主网络中车辆定位广告和路线共享的智能交通系统手机应用

Seilendria A. Hadiwardoyo, Subhadeep Patra, Carlos T. Calafate, Juan-Carlos Cano, Pietro Manzoni, Senior Member, IEEE   

  1. Deptartment of Computer Engineering, Universitat Politècnica de València, València 46022, Spain
  • 收稿日期:2017-07-04 修回日期:2018-01-21 出版日期:2018-03-05 发布日期:2018-03-05
  • 作者简介:Seilendria A. Hadiwardoyo is a Ph.D. candidate at the Department of Computer Engineering, Universitat Politècnica de València, València, Spain. He received his B.Eng. degree in computer engineering from Fakultas Teknik, Universitas Indonesia, Depok, Indonesia, and the Pre-Master's Diploma (Maitrise, equivalent to Pg.Dip.) in computer science from Universite de Lille 1, Villeneuve-d'Ascq, France, both in 2012. Hadiwardoyo obtained his M.S. degree in web, multimedia, and networks from Universite de Bretagne-Sud, Vannes, France, and his Predoctoral Diploma (equivalent to M.Phil.) in informatics from Universidade do Minho, Braga, Portugal, in 2013 and 2015 respectively. His research interests include ad hoc and vehicular networks, mobile applications, and implementation of intelligent transportation systems (ITS)
  • 基金资助:

    This work was partially supported by the "Ministerio de Economía y Competividad, Programa Estatal de Investigación, Desarollo e Innovación Orientada a los Retos de la Sociedad, Proyectos I+D+I 2014", Spain, under Grant Nos. TEC2014-52690-R and BES-2015-075988.

An Intelligent Transportation System Application for Smartphones Based on Vehicle Position Advertising and Route Sharing in Vehicular Ad-Hoc Networks

Seilendria A. Hadiwardoyo, Subhadeep Patra, Carlos T. Calafate, Juan-Carlos Cano, Pietro Manzoni, Senior Member, IEEE   

  1. Deptartment of Computer Engineering, Universitat Politècnica de València, València 46022, Spain
  • Received:2017-07-04 Revised:2018-01-21 Online:2018-03-05 Published:2018-03-05
  • Contact: 10.1007/s11390-018-1817-4
  • About author:Seilendria A. Hadiwardoyo is a Ph.D. candidate at the Department of Computer Engineering, Universitat Politècnica de València, València, Spain. He received his B.Eng. degree in computer engineering from Fakultas Teknik, Universitas Indonesia, Depok, Indonesia, and the Pre-Master's Diploma (Maitrise, equivalent to Pg.Dip.) in computer science from Universite de Lille 1, Villeneuve-d'Ascq, France, both in 2012. Hadiwardoyo obtained his M.S. degree in web, multimedia, and networks from Universite de Bretagne-Sud, Vannes, France, and his Predoctoral Diploma (equivalent to M.Phil.) in informatics from Universidade do Minho, Braga, Portugal, in 2013 and 2015 respectively. His research interests include ad hoc and vehicular networks, mobile applications, and implementation of intelligent transportation systems (ITS)
  • Supported by:

    This work was partially supported by the "Ministerio de Economía y Competividad, Programa Estatal de Investigación, Desarollo e Innovación Orientada a los Retos de la Sociedad, Proyectos I+D+I 2014", Spain, under Grant Nos. TEC2014-52690-R and BES-2015-075988.

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在交通拥堵的城市，提醒司机前方紧急车辆及其路线可以大力改善他们的行程时间，并且减少因精力分散引起事故的风险。为此，本文提出了Messiah，一款安卓应用，它可以通知常规车辆前方有紧急车辆，如，救护车、警车和消防车。此目标可以通过创建能直接让车辆交流的网络实现。因此，用户通过前方的警报及时决定行车路线。基于GRCBox硬件的支持，在5赫兹波段，通过基于Android手机和GRCBox设备的组合，该应用可以依靠车载自主网络通信实现V2V（车辆与车辆）沟通。该应用在具有不同层级障碍物的不同情境下测试，结果显示它能够提供高达300米之远的警报，并在一秒之内通知车辆。

Abstract: Alerting drivers about incoming emergency vehicles and their routes can greatly improve their travel time in congested cities, while reducing the risk of accidents due to distractions. This paper contributes to this goal by proposing Messiah, an Android application capable of informing regular vehicles about incoming emergency vehicles like ambulances, police cars and fire brigades. This is made possible by creating a network of vehicles capable of directly communicating between them. The user can, therefore, take driving decisions in a timely manner by considering incoming alerts. Using the support of our GRCBox hardware, the application can rely on vehicular ad-hoc network communications in the 5 GHz band, being V2V (vehicle-to-vehicle) communication provided through a combination of Android-based smartphone and our GRCBox device. The application was tested in three different scenarios with different levels of obstruction, showing that it is capable of providing alerts up to 300 meters, and notifying vehicles within less than one second.

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