(CILS-ATC) & Applications to Signal Projects and Education by Pengfei “Taylor” Li - Mississippi State U.

Cabinet-in-the-loop traffic simulation in essence adopts the whole set of traffic signal cabinet as a

control-interface-device (CID) during simulation rather than a special simplified device like in most

hardware(controller)-in-the-loop simulation (HILS). CILS’s advantage over HILS is that passing test in CILS

can guarantee real-world deployment for novel signal operations. However, CILS did not become

popular in the past due to high maintenance and (high-voltage) safety concerns within the cabinet. It

has been recently noticed that the latest ATC signal cabinet can greatly reduce the maintenance

requirement and totally remove the safety hazards within the cabinet. In this presentation, I will present

how to couple the latest ATC signal cabinet with VISSIM via ATC SIUs to create a safe and easy cabinetin-

the-loop simulation system, referred to as CILS-ATC. Additional discussions also include how to apply

the CILS-ATC to novel signal research, both in signal control and data collection, and how to facilitate the

signal education, especially exercises in cabinet telemetry, to make engineering students more prepared

for their future signal jobs.

Virtual Controller Interface Device by Zong Tian - University of Nevada, Reno

This is a CID developed using NTCIP without a hardware device. It is fully functioning with Econolite’s

Colbat controllers and VISSIM. Besides the CID functions, I will briefly discuss an extended simulation

package called PASS – Physical Arterial Signal Simulation, which includes a signal timing development

interface and a physical small-scale arterial to demo signal control concepts.

Assessment of Eco-Driving under mixed traffic environment by Brian Park – University of Virginia

While eco-driving concept has been introduced to achieve environmentally friendly driving behaviors,

the interactions between the human-driven vehicle and the automated vehicle (that perfectly follows

eco-driving guidance), and their impacts on eco-driving are not clear. We assessed the influence of the

automated leading vehicle and the eco-driving guidance on human driver’s eco-driving behavior using a

human-in-the-loop simulation (HILS) environment using PreScan software. Our results indicated that

both eco-driving guidance without automated leading vehicle and no-guidance with automated leading

vehicle improved over 6% fuel consumption when compared to the base case. This indicates the

presence of automated vehicle could help achieving eco-driving for none eco-driving guided vehicle.

Update on an Open Source Microscopic Traffic Simulation Software (ETFOMM) by Li Zhang - New

Global Systems & Mississippi State University

3. Future Activities –

Research Problem Statement

Involvement with Joint Traffic Simulation Subcommittee

4. Other Business