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Traffic Modelling Jobs (NOW HIRING)

Technical background in Traffic, User Demand, or Ridership forecasting - including the development ... Expert technical network modelling skills in Cube and/or EMME. * Expert technical skills in ...

Technical background in Traffic, User Demand, or Ridership forecasting - including the development ... Expert technical network modelling skills in Cube and/or EMME. * Expert technical skills in ...

Technical background in Traffic, User Demand, or Ridership forecasting - including the development ... Expert technical network modelling skills in Cube and/or EMME. * Expert technical skills in ...

Technical background in Traffic, User Demand, or Ridership forecasting - including the development ... Expert technical network modelling skills in Cube and/or EMME. * Expert technical skills in ...

Technical background in Traffic, User Demand, or Ridership forecasting - including the development ... Expert technical network modelling skills in Cube and/or EMME. * Expert technical skills in ...

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Traffic Modelling information

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$22.5K

$60.2K

$109.5K

How much do traffic modelling jobs pay per year?

As of Jun 11, 2026, the average yearly pay for traffic modelling in the United States is $60,162.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $72,500.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by professionals in Traffic Modelling, and how can they be managed effectively?

Professionals in Traffic Modelling often encounter challenges such as integrating complex datasets from multiple sources, keeping up with evolving transportation technologies, and accurately predicting traffic patterns in rapidly changing urban environments. Effective management of these challenges requires strong analytical skills, familiarity with various modelling software, and continual collaboration with urban planners, civil engineers, and government agencies. Staying updated on industry best practices and engaging in ongoing professional development can also help traffic modellers adapt to new tools and methodologies.

How much do traffic engineers make in the US?

Traffic engineers in the US typically earn a median annual salary of around $70,000 to $90,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced professionals or those with advanced certifications can earn over $100,000 annually.

How to become a traffic consultant?

To become a traffic consultant, typically a bachelor's degree in civil engineering, transportation planning, or a related field is required. Gaining experience in traffic analysis, using tools like traffic simulation software, and obtaining relevant certifications can enhance job prospects in this specialized field.

What jobs are related to modeling?

Jobs related to modeling include roles such as data modeler, simulation modeler, and traffic modeler, which involve creating representations of systems or processes to analyze and predict behavior. These roles often require skills in statistics, programming, and specialized modeling software. Related fields include data analysis, systems engineering, and transportation planning.

How to become a traffic analyst?

To become a traffic analyst, typically a bachelor's degree in transportation engineering, urban planning, or a related field is required. Gaining experience with traffic data analysis tools like GIS or traffic simulation software, along with strong analytical skills, is essential. Certifications such as the Professional Traffic Operations Engineer (PTOE) can enhance job prospects.

What is the difference between Traffic Modelling vs Traffic Data Analyst?

AspectTraffic ModellingTraffic Data Analyst
Required CredentialsBachelor's in Transportation, Civil Engineering, or related field; often GIS or transportation planning certificationsBachelor's in Data Science, Statistics, or related field; similar certifications may apply
Work EnvironmentUrban planning agencies, transportation consultancies, government departmentsData-focused teams within transportation agencies, consulting firms, or research institutions
Industry UsageDesigning traffic flow models, forecasting congestion, infrastructure planningAnalyzing traffic data, identifying patterns, supporting decision-making

Traffic Modelling and Traffic Data Analysts both work within transportation but focus on different aspects. Traffic Modelling involves creating predictive models for traffic flow and infrastructure planning, while Traffic Data Analysts interpret traffic data to inform decisions. Both roles require similar educational backgrounds and often collaborate within transportation projects.

What are the key skills and qualifications needed to thrive as a Traffic Modeller, and why are they important?

To thrive as a Traffic Modeller, you need a background in civil engineering, transport planning, or a related field, along with strong analytical and mathematical skills. Proficiency in traffic modelling software such as VISSIM, SATURN, or AIMSUN, and familiarity with GIS and data analysis tools, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret data and present findings to stakeholders. These skills are vital for creating accurate models that inform urban planning and infrastructure decisions, ensuring efficient and safe transportation systems.

What is traffic modelling?

Traffic modelling is the process of using mathematical models and simulations to analyze and predict the movement of vehicles and pedestrians on transportation networks. This helps urban planners, engineers, and policymakers understand current traffic patterns, forecast future trends, and make decisions about road design, signal timings, and infrastructure improvements. Traffic modelling can be used to evaluate the impact of new developments, road closures, or public transport changes, ensuring efficient and safe transportation systems.
More about Traffic Modelling jobs
Infographic showing various Traffic Modelling job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $60,162 per year, or $28.9 per hour.
Traffic Operations Engineer-in-Training

Traffic Operations Engineer-in-Training

AKS Engineering & Forestry, LLC

Portland, OR

$92K - $125K/yr

Other

Posted 20 days ago


Job description

We've expanded our services and have an immediate opening for a Traffic Operations Engineer-In-Training (EIT). This is the perfect opportunity for someone with a few years of experience and their EIT or EI certification who is looking to take the next step in their career. In this role, you will collaborate with our principals and project managers on a mix of traffic operations projects throughout the pacific northwest.

What You'll Do
  • Assist in traffic operations projects ranging from traffic impact studies to traffic modelling/simulation and traffic control plans 
  • Support projects by reviewing development plans to evaluate their impact on traffic and identifying necessary mitigations
  • Conduct field reviews and data collection (traffic studies, vehicle detections technology, and software) to support design and analysis
  • Use simulation software such as Synchro to simulate traffic scenarios and evaluate potential improvements
  • Stay current with local, state, and federal design standards and guidelines
Who You Are
  • Bachelor's degree in Civil Engineering from an ABET-accredited program
  • At least 2 years of relevant traffic or transportation engineering experience
  • EIT certification and working toward obtaining PE licensure.
  • Experience in utilizing Synchro, Vissim, AutoCAD or other related tools
  • Effective written and verbal communication skills.
  • Ability to juggle multiple deadlines, stay organized, and keep projects moving efficiently.
  • Takes ownership of delivering high-quality work on time and within budget.
  • A strong team player who thrives in a collaborative, multi-disciplinary environment.