About Us.
Rajesh Chindalur, P.E., PTOE Senior Traffic/Transportation Engineer
Education
Bachelor of Science, Civil Engineering, 1994 - Bangalore University Masters of Civil Engineering, 2003 - University of Texas at Arlington
Specialisation
Transportation Planning and Modeling
• Traffic Operations and Engineering
• Pavement Management
• Project Management
• Signal Design
• Transportation Engineering
• Intelligent Transportation Systems (ITS)
• Construction Management
• Systems Analysis
• Operations Research
Experience
Mr. Chindalur has over 14 years of experience in transportation planning and engineering including pavement management, transportation planning, traffic operations and signalization. Mr. Chindalur is an expert in using several software programs such as PAVER, Infrastructure Management System IV (IMSIV), CUBE, Cube Voyager, FSUTMS, TRANPLAN, Synchro/SimTraffic, Traffix, Passer II, Passer III, CORSIM, GIS ArcView, HCS, AutoCAD, Microstation, ProjectWise, SIGNCAD and Statistical Analysis Software (SAS)
Chindalur Traffic Solutions, Inc.
CTSi clearly understands the relationship between land use, development and the roadway system, to analyze and solve demands created by traffic of all types. Travel demand models are effective tools for determining and prioritizing transportation projects and improvements. Traffic forecasts in support of the design and operations of roadways, site-specific traffic forecasting, and corridor and statewide traffic forecasting, including freight and rail studies are some of the projects that benefit from travel demand models. These modeling efforts have been successfully implemented into area-wide, corridor and statewide transportation plan developments.
CTSi has the ability and expertise to employ/run travel demand models that include highway (auto and truck), transit and/or rail and produce usable results. These travel demand model analysis are very valuable for evaluating the future land use and impacts of transportation projects and improvements. Some of the potential impacts determined by these travel demand models are air quality for existing and newly designated non-attainment areas, transportation system user benefits for FTA New Starts, and economic improvements.
CTSi’s personal have experience in analyzing long term demographic and economic patterns for the preparation of travel demand models that will be used in planning documents and policy studies. CTSi emphasize diligent data collection and analysis to build a firm base for travel demand forecasts. CTSi has the ability to provide reliable traffic and travel demand forecasts for several types of roadway systems including toll facilities and systems. CTSi has the ability to develop and evaluate travel demand model forecast for cities, counties and the state or review analysis developed by others. CTSi’s personal are knowledgeable and experienced in the preparation of:
• Demographic and land use forecasts for long-range transportation planning (LRTP)
• Socioeconomic impact analysis
• Advanced statistical analysis and
• Economic impact analysis
• Concurrency Traffic Analysis
• Land Development Traffic Assessments (LDTAs)
• Development of Regional Impacts (DRIs)
• County wide (Area wide) and Sub-Area Modeling and
• Mobility Plan/Fee Analysis
• Impacts on Mobility (Local, Regional, and State)