Title :
Safety applications modeling methodology and performance optimization in road vehicle communication
Author :
Zhe Bai ; Hesheng Zhang ; Wei Sun ; Cheng Pan
Author_Institution :
Traffic Inf. & Control Lab., Beijing Jiaotong Univ., Beijing, China
Abstract :
For the safety applications in road vehicle communication, the existing research did not take it into account that the generation of the safety messages is event driven and the network traffic is self-similar. We propose an ON/OFF Pareto process based safety application self-similar model according to the above features and prove the effectiveness of this model analytically. Then we verify the model on NS2 simulation platform by showing the network traffic generated by our model is self-similar. At last, we use this model to simulate and analyze the performance of safety applications (adopting IEEE 802.11p) by computing the average delay and packet delivery ratio (PDR) with different vehicle densities, speeds and packets generation rates. The simulation results show that IEEE 802.11p can be used for safety applications in road vehicle communication. We also find the optimal working range for safety applications on vehicle density and packets generation rate except vehicle speed, which shows that we must make compromises between short delay and high packet delivery ratio. The conclusion is highly valued for safety applications applied in actual environment.
Keywords :
Pareto analysis; delays; packet radio networks; road safety; road vehicles; telecommunication traffic; traffic engineering computing; wireless LAN; IEEE 802.11p; NS2 simulation platform; ON-OFF Pareto process; PDR; delay; network traffic; optimal working range; packet delivery ratio; packet generation rates; performance analysis; performance optimization; road vehicle communication; safety application modeling methodology; safety application self-similar model; safety messages; vehicle density; vehicle speed; Aggregates; Analytical models; Computational modeling; Delays; Safety; Telecommunication traffic; Vehicles;
Conference_Titel :
Intelligent Vehicles Symposium Proceedings, 2014 IEEE
Conference_Location :
Dearborn, MI
DOI :
10.1109/IVS.2014.6856445