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A New Feature Evaluation Algorithm and Its Application to Fault of High-Speed Railway Read chapter Read first chapter

2017 | OriginalPaper | Chapter

A More Practical Traffic Lights Cellular Automata Model for Traffic Flow Simulation

Authors : Xinlu Ma, Bei Li, Shijian Zhang, Xiaodong Guan

Published in: Proceedings of the Second International Conference on Intelligent Transportation

Publisher: Springer Singapore

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Abstract

Based on real collected data to analyze the effects to vehicle speed near the line of parking area under different remaining of green time with or without signal countdown device on urban roads. Then we can analysis of drivers’ characteristics and its spatio-temporal characteristics. Conclusion is drawn as follows: The influence of signal lights on vehicle speed, which mainly concentrate in the 70 m area near the stop line; During the green light period, at the same time point, the operational characteristics of vehicles on different positions have significant difference, which changes with the passing of green time; Compared with no signal countdown case, the vehicle speed fluctuation is larger and the average speed is obviously lower in signal countdown case; Under the traffic without blocking, most drivers want to increase speed through the stop-line. Eventually, by performing the analysis of pilot behaviors in with or without signal countdown device, an attempt is made to provide the urban road entrance lanes of more realistic CA model, which describes the operational characteristics of urban road entrance lanes with the signal controlling has obvious advantages through simulation results.

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previous chapter Development of a Surrogate Conflict Indicator for Freeway Exits Using Trajectory Data
next chapter Robot Driver’s Motion Analysis and Simulation Based on Vehicle Speed Control
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Metadata
Title
A More Practical Traffic Lights Cellular Automata Model for Traffic Flow Simulation
Authors
Xinlu Ma
Bei Li
Shijian Zhang
Xiaodong Guan
Copyright Year
2017
Publisher
Springer Singapore
Book
Proceedings of the Second International Conference on Intelligent Transportation

Print ISBN: 978-981-10-2397-2

Electronic ISBN: 978-981-10-2398-9

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-2398-9_7

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