A simulation-based benefit analysis of deploying connected vehicles using dedicated short range communication

In this research we utilize PARAMICS traffic micro-simulation software to study the impact of deploying Connected Vehicles (CV) in Deerfoot trail, Calgary, Alberta. We have implemented a V2V (Vehicle-to-Vehicle) Assisted V2I (Vehicle-to-Infrastructure) system for PARAMICS. It uses Dedicated Short Range Communication (DSRC) protocol to acquire traffic data, calculate and compare important traffic safety and mobility parameters and their impacts on CV by testing five scenarios differentiated by the percentage of 0% to 40% market penetration of CVs. Despite of previous studies which focused on upstream traffic, in this study we demonstrate effect of considering DSRC, re-routing guidance and advisory speed for upstream and downstream traffic. The study demonstrated that the CV technology can enhance traffic safety and mobility in freeways, if the percentage of CVs is significant (e.g. 30-40%) and the CV technology is accompanied by advisory speed reflected on Variable Message Signs (VMS) on both upstream and downstream of the incident location using DSRC range. In other words, equipping freeways with VMS, to use V2I communication, complements the CV technology, improves CV efficiency and leads to higher safety and mobility enhancement in freeways.

[1]  Peter Hidas A functional evaluation of the AIMSUN, PARAMICS and VISSIM microsimulation models , 2005 .

[2]  Mohamed Abdel-Aty,et al.  Evaluation of variable speed limits for real-time freeway safety improvement. , 2006, Accident; analysis and prevention.

[3]  Michael Anderson,et al.  TRAFFIC SIMULATION SOFTWARE COMPARISON STUDY , 2004 .

[4]  Buddhika R Maitipe,et al.  Development and Field Demonstration of DSRC Based V2V-Assisted V2I Traffic Information System for the Work Zone , 2012 .

[5]  B. D. Venter,et al.  The advantages of micro simulation in traffic modelling with reference to the N4 platinum toll road , 2001 .

[6]  David Stanek,et al.  CORSIM, PARAMICS, and VISSIM: What the Manuals Never Told You , 2004 .

[7]  Hussein Dia,et al.  Comparative evaluation of microscopic car-following behavior , 2005, IEEE Transactions on Intelligent Transportation Systems.

[8]  Mohamed Abdel-Aty,et al.  Validating a driving simulator using surrogate safety measures. , 2008, Accident; analysis and prevention.

[9]  Mohamed Abdel-Aty,et al.  Dynamic Variable Speed Limit Strategies for Real-Time Crash Risk Reduction on Freeways , 2008 .

[10]  Kaan Ozbay,et al.  Quantifying effects of ramp metering on freeway safety. , 2006, Accident; analysis and prevention.

[11]  Joyoung Lee,et al.  Evaluation of Route Guidance Strategies Based on Vehicle-Infrastructure Integration under Incident Conditions , 2008 .

[12]  Behrouz Homayoun Far,et al.  Modeling and simulation of advisory speed and re-routing strategies in connected vehicles systems for crash risk and travel time reduction , 2013, 2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).

[13]  Mohamed Abdel-Aty,et al.  Coordinated Use of Variable Speed Limits and Ramp Metering for Improving Safety on Congested Freeways , 2007 .