Title :
Research and simulation on vehicle characteristics of signalized intersection
Author :
Xue, Lian ; Huang, Shuning ; Wu, Minghui ; Xie, Jing ; Xu, Wenting ; Lou, Tiantian
Author_Institution :
Sch. of Comput. & Comput. Sci., Zhejiang Univ. City Coll., Hangzhou, China
Abstract :
Signalized intersection delay is an important evaluation index of the signalized intersection capacity and service level. This paper presents a signalized intersection delay model for signalized intersection. The model uses the methods which combine the RBF neural network with stochastic service system, and also uses MATLAB for computing simulation. It discusses the characteristics of the operation in the arrival and leaving process. The simulation results show that the RBF network can identify nonlinear complex systems and is more suitable for the short-term traffic forecasts. The theory of stochastic service system is practicable in vehicle delay and operating characteristic. It can provide a theoretical basis for optimizing the signal and is better to adapt the continual changes of traffic conditions than traditional methods.
Keywords :
neural nets; radial basis function networks; stochastic processes; traffic engineering computing; vehicles; MATLAB; RBF neural network; nonlinear complex systems; signalized intersection capacity; signalized intersection delay; stochastic service system; vehicle characteristics research; vehicle characteristics simulation; vehicle delay; Computational modeling; Computer networks; Delay; MATLAB; Mathematical model; Neural networks; Predictive models; Stochastic systems; Telecommunication traffic; Vehicles; Jackson networks; Markov; RBF artificial neural network; stochastic service system; white noise test;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5477619