01473357

Component

https://doi.org/10.3141/2390-06

http://scholar.google.com...gaye&publication_year=2013

The highest fuel consumption on urban arterials is associated with driving in congested traffic, characterized by higher speed fluctuations and frequent stops at intersections. One way to reduce excessive stop-and-go driving on urban streets is to optimize signal timings. More recently, new methods in traffic signal optimization have incorporated changes in drivers’ behavior to achieve optimum performance at signalized intersections. Connected vehicles technology provides a two-way wireless communication environment enabling vehicle-to-vehicle and vehicle-to-infrastructure communications, which can be used for a variety of mobility and safety applications. One such application is called the green light optimized speed advisory (GLOSA). This system uses timely and accurate information about traffic signal timing and traffic signal locations to guide drivers (through infrastructure-to-vehicle communication) with speed advice for a more uniform commute with less stopping time through traffic signals. A GLOSA implementation was evaluated for two types of traffic signal timing: predictable fixed-time signal timing and unpredictable actuated–coordinated signal timing. A two-intersection traffic network was modeled in VISSIM to achieve trustworthy results calibrated in the field. A comprehensive modal emission model was used to accurately estimate emissions. Experiments included various infrastructure-to-vehicle penetration rates and GLOSA activation frequencies. Results indicated that actuated–coordinated signal timings were not dependable for use in GLOSA systems. For fixed-time signals, higher penetration rates and more frequent GLOSA activations resulted in better traffic performance. GLOSA caused only minor improvements in fuel consumption, and average delay in vehicles stopped was improved significantly.

01516646

13-0641

English

pp 53–59

2013

Transportation Research Record: Journal of the Transportation Research Board

9780309287159

Print

Figures (6) ; References (13) ; Tables (1)

Accuracy; Algorithms; Driver information systems; Exhaust gases; Fuel consumption; Optimization; Traffic actuated controllers; Traffic delays; Traffic signal timing

VISSIM (Computer model)

Data and Information Technology; Highways; Operations and Traffic Management; I71: Traffic Theory; I73: Traffic Control

TRIS, TRB, ATRI

Feb 5 2013 12:15PM

• Application of Naturalistic Driving Data to Modeling of Driver Car-Following Behavior
• Comparing Calibrated Shared Space Simulation Model with Real-Life Data
• Gaussian Process Metamodels for Sensitivity Analysis of Traffic Simulation Models: Case Study of AIMSUN Mesoscopic Model
• Inhomogeneous Flow Patterns in Undersaturated Road Networks: Implications for Macroscopic Fundamental Diagram
• Macroscopic Fundamental Diagram for Urban Streets and Mixed Traffic: Cross Comparison of Estimation Methods
• Making NGSIM Data Usable for Studies on Traffic Flow Theory: Multistep Method for Vehicle Trajectory Reconstruction
• Model-Based Traffic Congestion Control in Urban Road Networks: Analysis of Performance Criteria
• New Car-Following Model Considering Impacts of Multiple Lead Vehicle Types
• Novel Cell Transmission Model–Based Simulations of Left-Turn Blockages Inside Intersections
• On Observable Chaotic Maps for Queuing Analysis
• Simulation-Based Assessment of Double-Parking Impacts on Traffic and Environmental Conditions
• Spatiotemporal Link Speed Correlations: Empirical Study
• Using Mobile Probe Data and the Macroscopic Fundamental Diagram to Estimate Network Densities: Tests Using Microsimulation
• Variable Speed Limit Control Based on Extended Link Transmission Model