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Title:

SAFEBAND: A Program for Optimizing Arterial Traffic Signals with Safety Consideration for Nighttime Traffic Operation

Accession Number:

01660531

Record Type:

Component

Abstract:

High crash rate is a major concern for traffic signal operation during nighttime, with speeding as one of the main causing factors. For nighttime signal operation, existing practice mainly includes red/red flashing and yellow/red flashing operation. However, neither operation is satisfactory, as the former operation leads to large delay, while the latter leads to high crash rates. Considering such, many traffic management agencies are switching to regular traffic signal operation. However, existing signal optimization models primarily focus on efficiency without consideration of safety. To fill in this gap, this paper proposes a new signal optimization program, namely SAFEBAND, for signal operation during nighttime. Built upon the classical MAXBAND model, the proposed model aims to reduce vehicle speeding while ensuring certain level of progression for nighttime traffic. The difference between SAFEBAND and MAXBAND is analyzed in the paper. A case study is conducted to illustrate and test the proposed model, based on real-world data collected from the Safety Pilot Model Deployment project, the world’s first large-scale connected vehicle deployment project. Simulation shows that the proposed model is effective in reducing vehicle speeding. Trade-off between safety and efficiency is also analyzed.

Supplemental Notes:

This paper was sponsored by TRB committee AHB25 Standing Committee on Traffic Signal Systems.

Report/Paper Numbers:

18-04086

Language:

English

Authors:

Huang, Shihong
Shen, Shengyin
Zheng, Jianfeng
Liu, Henry X

Pagination:

16p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References; Tables

Geographic Terms:

Subject Areas:

Highways; Operations and Traffic Management; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-04086

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:00AM