List of Articles Intelligent Transportation Systems

• Open Access Article
  • Abstract Page
  • Full-Text
  
  1 - Ranking of Iranian provinces to improve road safety by using of AHP
  P. Zamani hossein mehrizi
  Every year, many people are killed and wounded due to traffic accidents on the roads of Iran and lot of families suffer from physical, mental and financial problems. Today, the problem of traffic accidents has become an important issue in Iran but all provinces are not More

  Every year, many people are killed and wounded due to traffic accidents on the roads of Iran and lot of families suffer from physical, mental and financial problems. Today, the problem of traffic accidents has become an important issue in Iran but all provinces are not same condition in this issue. Transport authorities and experts tend to know position of each state based on different criteria. They should know that which province has the good condition and which one are in the worst position because for more exact planning, this issue has some influences on their decisions. In this paper, provinces based on various criteria, equipment related to intelligent transportation systems, are ranked. This method indicates that the numbers of dead and injured are not appropriate criteria for ranking of states and different criteria must be considered. This priority is performed by using of Analytical Hierarchy process (AHP). Based on the obtained results, the most important indicators for assessing Iranian provinces to improve road safety are a number of relief bases, type of damage, intelligent transportation equipment and road traffic rate. Extracting the results was done using Expert Choice software. Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  2 - Reliable Relay Node Selection to Real-Time Messaging in Vehicular Networks
  Yaser Taj Bahador BakhshiSareskanrood Hessam ZandHessami
  One of the intelligent transportation systems' goals is to improve safety and increase the quality of service on road journeys. Transmitting the message in critical situations with minimal delay and on time is essential for ensuring the health and safety of citizens on More

  One of the intelligent transportation systems' goals is to improve safety and increase the quality of service on road journeys. Transmitting the message in critical situations with minimal delay and on time is essential for ensuring the health and safety of citizens on road trips. Frequent topological changes pose significant challenges to the operation of safety programs and reduce the probability of sending critical messages in real-time. This article proposes the reliable relay node selection to real-time messaging (RRRM) routing algorithm to increase the reliability of sending real-time messages in vehicular networks. To expedite the transmission of information, by introducing three indicators for selecting intermediate vehicles entitled "Record of vehicle displacement", "Similarity of vehicle velocity with the velocity average of neighbor vehicles", and "Amount of trusty adjacent vehicles", the route vehicles are scored. The worthiest vehicles are selected as members of the route. RRRM measures the temporal conformity of the vehicles' previous presence in the current route and the stability of their connection with neighboring vehicles. It avoids route failure, increased delays, and failure to send critical messages to the destination by preventing the selection of unreliable vehicles as relays. Extensive simulations with multiple scenarios in the NS-3 and SUMO demonstrate the superiority of the RRRM in reducing route-failure, mean latency, and control overload, as well as increasing packet delivery rates in urban and highway environments. Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  3 - Applying Adaptive Network-based fuzzy Inference System to Predict Travel Time in Highways for Intelligent Transportation Systems
  Rouhollah Maghsoudi Behzad Moshiri
  Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  4 - Car License Plate Recognition using Color Features of Persian License Plates
  Amir Ebrahimi Abdollah Amirkhani Abolghasem A. Raie Mohammad R. Mosavi
  Manuscript profile