Transit Busses Sharing the Rand Sharing the Data

Ohio LTAP Center / Ohio Depart


Wednesday, October 11, 2017
10 a.m. - 11:30 a.m. EDT

CM | 1.50

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         Determining traffic flows and speeds in urban areas using transit buses

         Traffic flow and speed estimates are typically derived from sensors located at fixed locations on the roadway network.  It

         is infeasible to deploy these sensors on every segment of spatially extensive urban networks, and most road segments

         are either unmonitored or monitored very infrequently.  To address this lack of spatial coverage of the urban roadway

         network, we propose using transit buses equipped with low cost sensors to serve as mobile traffic sensing platforms.   

         We conducted an empirical study in which we equipped a van with GPS and a pair of LiDAR sensors and collected data

         while the van was repeatedly driven on a tour that emulates a bus route.  We developed a modification of the moving

         observer method to transform the LiDAR and GPS data into estimates of flow rates and used the data from the pair of

         LiDAR sensors to estimate traffic speeds.  The empirical results indicate the promise of using transit buses to estimate

         traffic flows and speeds across large portions of the urban roadway network

         An Open Source tool for the Visualization, Analysis and Reporting of Regional and Statewide Transit Networks

         Assessing the current "state of health" of individual transit networks is fundamental when planning improvements to a

         transportation network.  TNAST is compatible with standard spatial and non-spatial data sources such as census,

         employment, demographics, title VI, geographic area shape files, park and ride data, and transit network data which are

         publically available through US Census Bureau and Oregon Department of Transportation in standard and open formats.

         The latest version of the TNAST offers unparalleled features such as GTFS playground, multi-database, and on-map

         reports to name a few.  The multi-database features allow the users to select quarterly archived databases to track and

         compare the evolution of transit networks over time.

         Bus lanes best practices for rapid and effective implementation in the Washington, DC region

         In the greater Washington, DC region bus transit service is severely challenged by today's traffic conditions.  In the urban

         core buses often operate at only half of the speed of adjacent vehicular traffic, sometimes as low as three to five miles

         per hour during peak periods, resulting in lost productivity for bus operators, declining attractiveness to riders, and

         increasing operating costs for the same level of service.  We will present the results of the research, case studies, and

         international peer interviews that will be used to develop a handbook of multifaceted strategies for bus lanes.  This

         handbook will ultimately include recommendations specific to each relevant jurisdiction and each type of bus lane.  Each

         recommendation will include a step-by-step schedule of tasks needed for completion, including needed regulatory

         changes for action by regional jurisdictions and their legislative bodies.


Rabi Mishalani

Invited Speaker

Professor at The Ohio State University with the Department of Civil, Environmental and Geodetic Engineering Read More

Saeed Ghanbartehrani

Invited Speaker

Assistant Professor Industrial and Systems Engineering, Ohio University Read More

Burak Cesme

Invited Speaker

Ph.D, Engineering Associate · Kittelson & Associates, Inc. Read More

Benjamin Coifman

Invited Speaker

Associate Professor, Electrical & Computer Engr. Associate Professor, Civil, Envir & Geod Eng. at The Ohio State University Read More

Mark McCord

Invited Speaker

Professor, Civil & Environmental Engineering & Geodetic Science The Ohio State University Read More

Contact Info

Jerry Garrison,