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      TRB 98th Annual Meeting

      January 13–17, 2019

    • Interactive Program


Annual Meeting Event Detail

Simulation of Traffic Signal Systems Subcommittee, AHB25(3)

Monday 8:00 AM- 9:00 AM
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Brian Park, University of Virginia, presiding
Sponsored by:
Standing Committee on Traffic Signal Systems (AHB25)
Subcommittee Simulation of Traffic Signal Systems (AHB25(3))


Simulation of Traffic Signal Systems Subcommittee, AHB25(3) 

Monday, January 11, 2016

8:00 AM - 9:00 AM

Marriott Marquis


  1. Introductions
  2. Presentations
  3. A new hardware-in-the-loop traffic signal simulation framework to bridge signal research and practice by Pengfei (Taylor) Li, Arizona State University

    In this presentation, a new hardware-in-the-loop traffic signal simulation concept will be presented. With this proposed framework, pioneering (most likely computing-intensive) traffic signal control strategies by signal researchers or non-vendor practitioners can be hosted in an industrial computer box and this box interacts with simulation software via standard traffic control communication as independent applications. The advantages of this new framework include: (1) pioneering traffic signal logic only needs to be programmed once for simulation and the same code (i.e., in the same industrial computer) can be deployed in the field with minimal porting efforts; (2) Control algorithms hosted in the industrial computer do not need to update the firmware in signal controllers in the field and therefore the proposed framework will not bring major (i.e., expensive) changes to the existing signal system. 

    A Data Dissemination System using V2X Communications by Sang Hyuk Son, Daegu Gyeongbuk Institute of Science and Technology (DGIST)

    In this talk, we present a data dissemination system based on a hybrid of infrastructure-to-vehicle (I2V) and vehicle-to-vehicle (V2V) communications and a cooperation among multiple roadside units (RSUs). The primary objective is to best explore the channel efficiency for both I2V and V2V communications and offload workloads of RSUs so that the system performance on data service can be maximized. To this end, we propose and integrate three approaches to enhance channel utilization and offload the workloads of RSUs.

    Assessing Eco-Driving behaviors using Driving Simulator by Lian Cui, University of Virginia

    In this talk, a simulation based Eco-Driving behavior evaluation tested will be presented. The testbed was developed using the PreScan software and integrated with a Driving Simulator. It is noted that the testbed explicitly models communications between vehicles and infrastructure. A total of 43 drivers participated in the driving simulator study by following the base condition and the eco-driving guidance. It was found that the performance of eco-driving in terms of fuel consumption and emissions varies by the participants and their "training." At the second trial, the participants were able to achieve about 5% reductions in travel time, fuel consumption and emissions.

  4. Open Discussion