The connected automated vehicle (CAV) revolution is happening now. But before it becomes a reality, the technologies that make it possible have to be vetted, validated and successfully implemented.
Transportation OS: A Simulation Platform to Explore Breakthrough Concepts in ...M. Ilhan Akbas
Today, transportation planners are asked to optimize the transportation system such that every participant has minimal latency while the costs of the overall infrastructure are minimized. The tools at hand focus on road design, signage, and traffic light management. These tools are coarse grained and must manage a variable degree of compliance from human drivers. Overall, this is a very difficult task. Perhaps the biggest opportunity for the transportation system is the electronics technology revolution, which makes many powerful tools available. These include the availability of customer point-to-point information (cellphone applications), dynamic traffic management (smart lights), and directive agents (Autonomous Vehicles or Commercial Fleets). Further, with the availability of these tools, fundamentally new customer engagement models can be enabled to optimize the transportation system. In this paper we present the Transportation OS, a next generation simulation environment, which is built to explore break-out models enabled by bottom-up electronics infrastructure. T-OS is differentiated by exploring concepts such as micro-tolling and dynamic traffic management combined with a top-down market based optimization paradigm.
Cornie Huizenga is the founder of CESG – Shanghai, which aims to grow and become the leading knowledge and data platform on cities and sustainable transport in China. Cornie Huizenga’s is also the Joint Convener of the Partnership on Sustainable, Low Carbon Transport (SLoCaT), the largest multi-stakeholder partnership on sustainable, low carbon transport in developing countries.
A CAR POOLING MODEL WITH CMGV AND CMGNV STOCHASTIC VEHICLE TRAVEL TIMESEditor IJMTER
Carpooling (also car-sharing, ride-sharing, lift-sharing), is the sharing of car journeys so
that more than one person travels in a car. It helps to resolve a variety of problems that continue to
plague urban areas, ranging from energy demands and traffic congestion to environmental pollution.
Most of the existing method used stochastic disturbances arising from variations in vehicle travel
times for carpooling. However it doesn’t deal with the unmet demand with uncertain demand of the
vehicle for car pooling. To deal with this the proposed system uses Chance constrained
formulation/Programming (CCP) approach of the problem with stochastic demand and travel time
parameters, under mild assumptions on the distribution of stochastic parameters; and relates it with a
robust optimization approach. Since real problem sizes can be large, it could be difficult to find
optimal solutions within a reasonable period of time. Therefore solution algorithm using tabu
heuristic solution approach is developed to solve the model. Therefore, we constructed a stochastic
carpooling model that considers the in- fluence of stochastic travel times. The model is formulated as
an integer multiple commodity network flow problem. Since real problem sizes can be large, it could
be difficult to find optimal solutions within a reasonable period of time.
Transportation OS: A Simulation Platform to Explore Breakthrough Concepts in ...M. Ilhan Akbas
Today, transportation planners are asked to optimize the transportation system such that every participant has minimal latency while the costs of the overall infrastructure are minimized. The tools at hand focus on road design, signage, and traffic light management. These tools are coarse grained and must manage a variable degree of compliance from human drivers. Overall, this is a very difficult task. Perhaps the biggest opportunity for the transportation system is the electronics technology revolution, which makes many powerful tools available. These include the availability of customer point-to-point information (cellphone applications), dynamic traffic management (smart lights), and directive agents (Autonomous Vehicles or Commercial Fleets). Further, with the availability of these tools, fundamentally new customer engagement models can be enabled to optimize the transportation system. In this paper we present the Transportation OS, a next generation simulation environment, which is built to explore break-out models enabled by bottom-up electronics infrastructure. T-OS is differentiated by exploring concepts such as micro-tolling and dynamic traffic management combined with a top-down market based optimization paradigm.
Cornie Huizenga is the founder of CESG – Shanghai, which aims to grow and become the leading knowledge and data platform on cities and sustainable transport in China. Cornie Huizenga’s is also the Joint Convener of the Partnership on Sustainable, Low Carbon Transport (SLoCaT), the largest multi-stakeholder partnership on sustainable, low carbon transport in developing countries.
A CAR POOLING MODEL WITH CMGV AND CMGNV STOCHASTIC VEHICLE TRAVEL TIMESEditor IJMTER
Carpooling (also car-sharing, ride-sharing, lift-sharing), is the sharing of car journeys so
that more than one person travels in a car. It helps to resolve a variety of problems that continue to
plague urban areas, ranging from energy demands and traffic congestion to environmental pollution.
Most of the existing method used stochastic disturbances arising from variations in vehicle travel
times for carpooling. However it doesn’t deal with the unmet demand with uncertain demand of the
vehicle for car pooling. To deal with this the proposed system uses Chance constrained
formulation/Programming (CCP) approach of the problem with stochastic demand and travel time
parameters, under mild assumptions on the distribution of stochastic parameters; and relates it with a
robust optimization approach. Since real problem sizes can be large, it could be difficult to find
optimal solutions within a reasonable period of time. Therefore solution algorithm using tabu
heuristic solution approach is developed to solve the model. Therefore, we constructed a stochastic
carpooling model that considers the in- fluence of stochastic travel times. The model is formulated as
an integer multiple commodity network flow problem. Since real problem sizes can be large, it could
be difficult to find optimal solutions within a reasonable period of time.
In this presentation, Amarendra introduces automation and associated trends. Amarendra's interest area is to develop automation software that will help in de-congesting airports and railway stations.
Short presentation about the role of AMS in solving Amsterdam mobility issues and setting the mobility agenda. Linking science and practise using Amsterdam as a Living Lab.
What is the business case for LEFVs and for what kind of LEFV's?
What segments in city logistics are most open to LEFVs?
What is the impact of working with LEFVs on business processes and networks?
What can autonomous LEFVs bring for future city logistics?
What barriers should be crossed for the implementation of LEFVs?
TTI’s Connected and Automated Vision for the Future
The Texas A&M Transportation Institute (TTI) shares an industry vision where no vehicles collide and people can use connected and automated transportation to transform how they live, work and interact with their environment. To achieve this vision, research, development and testing are needed on how vehicles, users and transportation infrastructure all work together. While automated vehicles are emerging and connected vehicle research is progressing, TTI believes the most significant gains in safety and mobility will occur at the nexus of these areas. TTI is creating a world-class research environment on the Texas A&M University campus where researchers can collaborate, new transportation paradigms can be created, and future mobility and safety can be showcased.
In this presentation, Amarendra introduces automation and associated trends. Amarendra's interest area is to develop automation software that will help in de-congesting airports and railway stations.
Short presentation about the role of AMS in solving Amsterdam mobility issues and setting the mobility agenda. Linking science and practise using Amsterdam as a Living Lab.
What is the business case for LEFVs and for what kind of LEFV's?
What segments in city logistics are most open to LEFVs?
What is the impact of working with LEFVs on business processes and networks?
What can autonomous LEFVs bring for future city logistics?
What barriers should be crossed for the implementation of LEFVs?
TTI’s Connected and Automated Vision for the Future
The Texas A&M Transportation Institute (TTI) shares an industry vision where no vehicles collide and people can use connected and automated transportation to transform how they live, work and interact with their environment. To achieve this vision, research, development and testing are needed on how vehicles, users and transportation infrastructure all work together. While automated vehicles are emerging and connected vehicle research is progressing, TTI believes the most significant gains in safety and mobility will occur at the nexus of these areas. TTI is creating a world-class research environment on the Texas A&M University campus where researchers can collaborate, new transportation paradigms can be created, and future mobility and safety can be showcased.
White Paper on Transport Safety in the Era of Digital MobilityCarl Jackson
While remarkable progress has been made with technological, operational and behavioral improvements in the century-old, automotive-based transport systems used around the world, rapid technological changes are occurring that could amount to a reset in outcomes for transport users.
Vehicular ad hoc network is one of the most interesting research areas due to flexibility, low cost, high sensing fidelity, fault tolerance, creating many new and exciting application areas for remote sensing. So, it has emerged as a promising tool for monitoring the physical world with wireless sensor that can sense, process and communicate. Being ad-hoc in nature, VANET is a type of networks that is created from the concept of establishing a network of cars for a specific need or situation. VANETs have now been established as reliable networks that vehicles use for communication purpose on highways or urban environments. VANET considered as a distinct type of Mobile Ad Hoc Networks holds the opportunity to make peoples life and death decisions by predicting and helping the drivers and other people about the road safety and other critical conditions.
Edge computing for CAVs and VRU protection Carl Jackson
A partnership between the University of Melbourne, Cisco,
Cohda Wireless, TAC, VicRoads and WSP has completed
a round of trials in the AIMES ecosystem (the Australian
Integrated Multimodal EcoSystem), leveraging the
infrastructure for connected and automated vehicles, and
for edge computing.
Real time path planning based on hybrid vanet enhanced transportation systemIISTech2015
Real time path planning based on hybrid vanet enhanced transportation system || 2015-2016 IEEE NS2 Projects Training
Contact: IIS TECHNOLOGIES
ph:9952077540,landline:044 42637391
mail:info@iistechnologies.in
The future of transportation is being rewritten on the Texas
A&M University campus. A top priority of that vision includes
the alignment of mobility, safety, connectivity and efficiency to
enhance campus transportation options and experiences. The
goal is to transform the campus transportation experience and enhance the overall quality of life by integrating private-sector transportation innovations and improvements. The Campus Transportation Technology Initiative supports that transformation by exploring and demonstrating technologies that advance
campus transportation and planning priorities now and into the future.
What is Truck Platooning?
Level 2 truck platooning extends radar and vehicle-to-vehicle, communications-based, cooperative-adaptive cruise control using precise automated lateral and longitudinal vehicle control to maintain a tight formation of vehicles with short following distances. A manually driven truck leads a platoon, allowing the driver(s) of the following truck(s) to disengage from driving tasks and monitor system performance. Level 1 truck platooning has demonstrated the potential for significant fuel savings, enhanced mobility and associated emissions reductions from platooning vehicles. Level 2 automation may increase these benefits while reducing driver workload and increasing safety.
Our journal has been unwavering commitment to showcasing cutting-edge research. The journal provides a platform for researchers to disseminate their work on next-generation technologies. In an era where innovation is the driving force behind progress, JST plays a crucial role in shaping the discourse on emerging technologies, thus contributing to their rapid development and implementation.
DYNAMIC RESOURCE ALLOCATION IN ROAD TRANSPORT SECTOR USING MOBILE CLOUD COMPU...IAEME Publication
Literature review revealed application of various techniques for efficient use of existing resources in road transport sector vehicles, operators and related facilities. This issue assumes bigger dimensions in situations where there are multiple routes and the demand in the routes is highly fluctuating over the day. The application of the existing techniques as reported in literature addresses above issues to a considerable extent. However the main draw back in existing techniques is lack of
proper uninterrupted information about vehicles and demand available at a central place for allocation of vehicles in different roads and huge computational times required for processing. Cloud computing is a recently developed processing tool that is used in effective utilization of resources in transport sector under dynamic resource allocation.
CREATING DATA OUTPUTS FROM MULTI AGENT TRAFFIC MICRO SIMULATION TO ASSIMILATI...cscpconf
The intensive development of traffic engineering and technologies that are integrated into vehicles, roads and their surroundings, bring opportunities of real time transport mobility modeling. Based on such model it is then possible to establish a predictive layer that is capable of predicting short and long term traffic flow behavior. It is possible to create the real time model of traffic mobility based on generated data. However, data may have different geographical, temporal or other constraints, or failures. It is therefore appropriate to develop tools that artificially create missing data, which can then be assimilated with real data. This paper presents a mechanism describing strategies of generating artificial data using microsimulations. It describes traffic microsimulation based on our solution of multiagent framework over which a system for generating traffic data is built. The system generates data of a structure corresponding to the data acquired in the real world.
Similar to CONnected Vehicle Assessment Simulation (CONVAS) (20)
Texas Pedestrian Safety Forum, July 12, 2018
When Your Urban Core Arrives | University Drive in College Station Presented by James Robertson, Ph.D., P.E., Lee Engineering
Texas Pedestrian Safety Forum, July 12, 2018
Presentation by Kevin Kokes, Principal Transportation Planner, North Central Texas Council of Governments (NCTCOG)
In 2009, the Texas A&M Transportation Institute (TTI) added a one-of-a-kind Visibility Research Laboratory to its collection
of world class research facilities. The laboratory is located in the Institute’s State Headquarters and Research Building in the Research Park at Texas A&M University in College Station, Texas. The laboratory features a 125-foot-long corridor that is used to test retroreflective materials and coatings, lights and other technologies designed to provide nighttime visibility for
highway drivers.
The Transportation Revenue Estimator and Needs Determination System (TRENDS) model funded by the Texas Department of Transportation is designed to provide transportation planners, policy makers and the public with a tool to forecast transportation revenues and expenses based on a user-defined level of investment at both the state and local
level. The user, through interactive windows, can control a number of variables related to assumptions regarding statewide transportation needs, population growth rates, fuel efficiency,
federal reimbursement rates, inflation rates, taxes, fees and other elements. The output is a set of tables and graphs showing a forecast of revenues, expenditures and fund balances for each year of the analysis period based on the
user-defined assumptions. The TRENDS model also includes a local option sub-model for each of Texas’ 25 Metropolitan Planning Organizations. Through the local option model the user can analyze changes in local revenues by creating
or adjusting a local fuel tax, local vehicle miles traveled tax, local vehicle registration fee or the local fuel efficiency rates.
The Travel Forecasting Program at the Texas A&M Transportation Institute (TTI) supports and assists public agencies in the development, implementation and application of
current and emerging technologies in travel demand forecasting.
The purpose of travel forecasting is to help transportation
decision makers, at the local and state levels, improve the overall function of the transportation system. Program staff members accomplish this by developing travel models that predict future transportation patterns based on many variables. The variables used by program staff include comprehensive travel survey data, U.S. Census data, current and projected socio-demographic data, existing and projected transportation system data, and current traffic data.
The Texas A&M Transportation Institute (TTI) Transportation Planning Program conducts research on travel surveys, travel behavior and related data collection methods to support travel models, policy, and air quality analyses. Program researchers have expertise in travel data collection methods and technologies; survey design and sampling, data analysis and interpretation; demographic data preparation for modeling; and corridor management and preservation.
The Texas A&M Transportation Institute (TTI) Transit
Mobility Program provides research and technology transfer expertise in all aspects of public transportation planning, management and operations. Program researchers bring a combination of direct operational skills in all bus and rail modes and nationwide research experience with metropolitan, urban and rural transit systems. Research projects result in practical, actionable recommendations for enhancing transit access, efficiency, effectiveness, safety and funding sustainability. Transit Mobility Program staff are adept at facilitating multi-agency groups in the development of shared transportation objectives, innovative strategies and coordinated services.
The TTI Center for Transportation Safety is home to a Realtime Technologies, Inc. (RTI) driving simulator that provides measurements of drivers’ responses to roadway situations, in-vehicle technologies, and driving-related tasks. RTI’s
SimCreator® and SimVista® software tools provide a library of different roadway cross-sections and interchanges, as well as a variety of roadway objects, buildings, and ambient traffic. In addition, custom roadway tiles can be programmed to match a specific roadway segment. This allows for in-house development of a wide range of rural and urban roadway scenarios, making it possible to inexpensively test multiple variations and placements of roadway devices or in-vehicle
signals and displays. Using the driving simulator, researchers can test a wider variety of roadway geometries and traffic conditions than are typically possible in a test-track study or fiscally practical in a field study.
The Texas A&M Transportation Institute’s (TTI) Sediment and
Erosion Control Laboratory (SEC Lab) provides the transportation industry with a research and performance
evaluation program for roadside environmental management. Research at the SEC Lab includes stormwater quality improvement, erosion and sediment control, and vegetation
establishment and management.
The Texas A&M University System is creating a new paradigm for the future of applied research, technology development and education. The 2,000 acre RELLIS Campus is conveniently located just 8 miles/15 minutes from Texas A&M University’s main campus. This location has long been a place where Texas A&M has conducted world-class research, technology development and workforce training in areas such as vehicle safety, traffic engineering, law enforcement training, biological materials processing, robotics and unmanned aerial systems.
Freight and passenger rail is a critical component of our nation’s
transportation system. Texas A&M Transportation Institute’s
(TTI) Multimodal Freight Transportation Programs Group
remains active in exploring the future of rail through a variety
of research activities.
Public scrutiny and agency accountability are at an all-time
high. Agencies are looking for a better understanding of the issues that are important to their customers. In an era of strained financial resources, it is necessary to order priorities that are important to the people that support the transportation system through taxes and fees. The Public Engagement Planning (PEP) program at the Texas A&M Transportation
Institute (TTI) provides research innovations and coordinated support to sponsors in the areas of public engagement planning and public opinion research.
The Texas A&M Transportation Institute (TTI) was asked by the Texas Department of Transportation (TxDOT) to assist in the application and refinement of prior research to accomplish some key goals during the reconstruction of the I-35 corridor from Hillsboro to Salado (90 miles total). Currently, TxDOT is conducting 10 construction projects along this corridor. More than 30 million drivers, including travelers, shippers and intercity commuters, use the corridor each year.
Intelligent transportation systems (ITS) include a broad range of services and technology solutions that provide and manage information to improve the safety, efficiency and performance of our transportation network.
Researchers design and implement experiments with human subjects (including field and simulator studies) and survey subjects to identify driver safety issues, such as those related to traffic control devices, distraction and fatigue. TTI’s experimental psychologists and industrial engineers have conducted numerous studies related to driver response to roadway geometric design; visibility and driver comprehension of traffic control devices; driver distraction; and automotive adaptive equipment for disabled drivers, older drivers and short-statured drivers.
The Human Factors Program is housed within the Center
for Transportation Safety at the Texas A&M Transportation
Institute (TTI). The goal of the program is to conduct basic and
applied research to measure driver performance and behavior
for varied driving situations, vehicle characteristics and roadway
environments. Researchers design and implement experiments with human subjects (including field and simulator studies) and survey subjects to identify driver safety issues, such as those related to traffic control devices, distraction and fatigue.
TTI’s experimental psychologists and industrial engineers have
conducted numerous studies related to driver response to
roadway geometric design; visibility and driver comprehension
of traffic control devices; driver distraction; and automotive
adaptive equipment for disabled drivers, older drivers and
short-statured drivers.
For more than three decades, the Texas A&M Transportation
Institute (TTI) has been actively involved in the development
and improvement of the Texas Airport System. TTI’s contributions include activities related to planning and programming of airport projects, airport maintenance, and aviation education. TTI researchers have provided valuable guidance on a variety of issues to the Aviation Division at the Texas Department of Transportation (TxDOT) and to small and large airports across the state, including the Dallas-Fort Worth International Airport, Houston’s George Bush Intercontinental Airport and small airports such as Bryan’s Coulter Field.
The Texas A&M Transportation Institute is a leader in multimodal freight research and an innovator in exploring new ways of moving freight across the nation and around
the world.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
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Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
1. Saving Lives, Time and Resources tti.tamu.edu
CONnected Vehicle Assessment
Simulation (CONVAS)
The Texas A&M Transportation Institute
(TTI) has developed an augmented-reality
environment where real entities (vehicles and
traffic signal operation) are combined with
simulatedtrafficanddisplayedonascreen.The
first-of-its-kind approach — called CONVAS
(CONnected Vehicle Assessment Simulation)
— marries the cost-effectiveness of computer
simulation with actual roadway operations to
produceanefficientyetdependableevaluation
mechanism for the Federal Highway Admin-
istration (FHWA). TTI has been developing
the platform since January 2014.
A PLATFORM FOR CHANGE: TTI PROVIDES FHWA A NEW WAY TO TEST CV/AV TECHNOLOGIES
Leading the Revolution
Srinivasa Sunkari and his team developed
an enhanced hardware-in-the-loop (HITL)
simulation in this project by incorporating
an actual CV on a roadway network into a
simulation model and displaying simulated
CVs inside the real vehicle at the same time.
This enables development and testing of
advanced CV applications or strategies by
allowing assessments of how CVs respond
to each other and other entities such as
pedestrians, emergency vehicles and transit
vehicles in a controlled environment. This is
the first time HITL simulation has ever been
applied in this way.
With the delivery of CONVAS, FHWA
will have a way to test the performance of
large-scale CV applications while minimiz-
ing evaluation costs. Through simulation,
technologiescanbefine-tuned,andengineers
can use the results to design advanced algo-
rithms that, in turn, will govern how vehicles
drive tomorrow’s roadways. In short, thanks
to CONVAS, our future transportation
system will be safer, more dependable and
less expensive to build.
TTI has developed an augmented-reality environment where real entities (e.g., vehicles and traffic
signal operation) are combined with simulated traffic and displayed on a screen.
“The limitations of traditional
simulation come from having
to model every entity to be
as realistic as possible. With
CONVAS, operating agencies can
assess CV applications using a
simulation environment that can
accurately represent a mix of real
vehicles with simulated vehicles
simultaneously in real time.”
TTI Research Engineer Srinivasa
Sunkari, Principal Investigator
The connected vehicle/automated vehicle (CV/AV) revolution is happening now.
But before it becomes a reality, the technologies that make it possible have to be
vetted, validated and successfully implemented.
2. Srinivasa Sunkari, P.E.
TTI Research Engineer
Connected and Automated Transportation
Texas A&M Transportation Institute
3135 TAMU
College Station, TX 77843-3135
(979) 845-7472
s-sunkari@tamu.edu
http://tti.tamu.edu
AsecondarypurposeoftheCONVASproject
istoevaluateadisruptedwirelesscommunica-
tions connection. To more accurately repre-
sent CV communications, TTI researchers
integratedthecommercialmicroscopictraffic
simulator Vissim with the open-source wire-
lessnetworksimulatorns-3.Doingsoenables
simulated vehicles to adapt to variability in
the communication environment, providing
amorerealisticassessmentofCVapplications
in the simulation model. As Sunkari notes,
“Connected vehicle technologies all rely on
wireless communications. But what happens
when the wireless connection is disrupted or
blocked?” Similar to its application of HITL
simulation, TTI’s integration of the two
simulators had also never been done before.
On June 22, 2016, Sunkari and his research
team demonstrated CONVAS to visiting
FHWA sponsors at The Texas A&M Uni-
versity System’s RELLIS Campus. The field
test confirmed the successful integration of
the Vissim and ns-3 simulators, and showed
theseamlessdataflowbetweenthesimulation
model and the test vehicle’s onboard unit.
On February 28, 2017, TTI validated its
HITL simulation platform by again success-
fullydemonstratingCONVAStorepresenta-
tives of NASA, the U.S. Army, the California
Department of Transportation and the Texas
Department of Transportation as part of a
Technology Readiness Level Assessment. As
in the earlier demonstration, attendees were
able to see, in real time, how a CV reacts to
simulated vehicles or roadway conditions,
as well as how simulated vehicles react to
other CVs.
Sunkari and his team are waiting to hear if a
second phase of the project will be initiated.
Phase 2 could involve the testing of a specific
CV application.
“Regardless, CONVAS will likely be used in
other TTI connected vehicle research and,
perhaps, connected vehicle technologies
for The Texas A&M University System,”
Sunkari says.
The Texas A&M Transportation
Institute, established in 1950, seeks
solutions to the problems and chal-
lenges facing all modes of transpor-
tation — surface, air, pipeline, water
and rail. The Institute works with
nearly 200 sponsors in the United
States and abroad at all levels of
government and in the private sector
and is recognized as one of the finest
higher-education-affiliated transpor-
tation research agencies in the nation.
TTI has saved the state and nation
billions of dollars through strategies
and products developed through its
research program. TTI research has
a proven impact — resulting in lives,
time and resources saved.
To solve transportation
problems through research,
to transfer technology and to
develop diverse human resources
to meet the transportation
challenges of tomorrow.
TTI’s Mission
TTI1761.0417
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About TTI
“The technology used in
developing this platform will
bring benefits in CV research for
many years to come as we work
to improve our transportation
network to become a more
intelligent, more reliable and safer
system.”
FHWA Highway Research Engineer
Peter Huang, who manages the
Turner-Fairbank Intelligent Intersection
Traffic Control Laboratory
One Solution to Multiple Challenges, Two Successful Demonstrations