Urban Traffic Optimization Based on Modeling Analysis of Sector-Based Time Variable: The Case of Simulated Ningbo, China

Research output: Journal PublicationArticlepeer-review

Abstract

This paper studies the important factor of sector-based time variable, which is critical to urban mobility patterns in an urban environment. In particular, this study analyzes urban traffic optimization based on modeling analysis of a simulated urban environment. In doing so, we develop and assess the urban traffic model based on three key components of agents, urban map, and mobility pattern. We develop an urban sample based on a medium-to-large city in China, which is represented by Manhattan grid pattern layout. By developing a homogeneous urban layout, we distribute the urban blocks of various sectors across the sample model. Through simulation studies, we model urban traffic based on “conventional operation hours” and “proposed operation hours” of all sectors. This urban traffic model is used to study the impact of the proposed approach on urban traffic based on two measured metrics of end-to-end delay (ETE) and Agent queue count (AQC). By suggesting a new sector-based time variable, we then evaluate the urban traffic model based on multiple active agent ratio. The findings from this simulation uncover the importance of sector-based time variable in optimizing urban traffic.

Original languageEnglish
Article number629940
JournalFrontiers in Sustainable Cities
Volume3
DOIs
Publication statusPublished - 5 Mar 2021

Keywords

  • Agent queue count (AQC)
  • end-to-end delay (ETE)
  • sector-based
  • simulation
  • time variable
  • traffic optimization
  • urban modeling
  • urban traffic

ASJC Scopus subject areas

  • Urban Studies
  • Public Administration
  • Renewable Energy, Sustainability and the Environment

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