Main Reference PaperData Driven Congestion Trends Prediction of Urban Transportation, IEEE Internet of Things Journal, June 2017 [Java]
  • SWARIMA model based smart traffic forecasting system is proposed in which real-time data stream are processed using Sliding Windows and regression analysis is made over it to predict the congestion trend.

+ Description
  • SWARIMA model based smart traffic forecasting system is proposed in which real-time data stream are processed using Sliding Windows and regression analysis is made over it to predict the congestion trend.

  • To provide three reliable elastic intervals: warning, congestion and mitigation.

  • To improve traffic condition and alleviate urban road congestion.

+ Aim & Objectives
  • To provide three reliable elastic intervals: warning, congestion and mitigation.

  • To improve traffic condition and alleviate urban road congestion.

  • Proposed algorithm is improved further for system accuracy.

+ Contribution
  • Proposed algorithm is improved further for system accuracy.

  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, & J2SE.

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, & J2SE.

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-Depending on the complexity of the project and requirements.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.