An Elegant and Computationally Efficient Approach for Heterogeneous Traffic Modelling Using Agent Based Simulation
Author(s) -
Amit Agarwal,
Michael Zilske,
K. Ramachandra Rao,
Kai Nagel
Publication year - 2015
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2015.05.173
Subject(s) - computer science , queue , fifo (computing and electronics) , traffic flow (computer networking) , queueing theory , traffic simulation , flow (mathematics) , distributed computing , simulation , mathematical optimization , real time computing , computer network , transport engineering , microsimulation , geometry , mathematics , computer hardware , engineering
For developing nations, where mixed traffic conditions prevail, it becomes necessary to develop a heterogeneous traffic flow model which is able to model all vehicle types of different static and dynamic characteristics and equally efficient in computational performance. For this purpose, in this study, an agent based framework is used which uses a queue model in its mobility simulation. In first step, queue model is enhanced by adding different vehicle types with different maximum speeds and sizes. Furthermore, traditional FIFO (First-In-First-Out) approach of queue model is modified to a more realistic modified queue model in which faster vehicles can pass slower vehicles. The enhancements are discussed with their fundamental diagrams for traffic flow and spatio-temporal diagrams
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