2013 Session: 793

• Realignment of Road Network Maps with GPS Tracking Data
  Abstract: Road network datasets are widely available either for a fee or for free on the Internet. Unfortunately, some of them are not always accurate and up-to-date. These inaccuracies could cause navigation errors and prove costly to users. Therefore, it is important to devise a useful, efficient and cost effective method to make the datasets more accurate. One way to rectify the dataset quality is to use GPS data collected by GPS enabled navigation devices. When the map is not accurate it is reasonable to assume that the GPS data is more accurate than the map. Thus, GPS tracks can be used to realign the traveled street segments. One can view this as the inverse of the map matching problem. Instead of matching GPS positions to the map, we match the map to GPS tracks (or points).This paper outlines a comprehensive approach for realigning street segments to GPS data collected from moving vehicles. The process includes GPS data filtering, matching GPS points to existing road segments, shifting the road segments to the GPS points and forming new intersections and vertices. The end result of the process is a revised map of the road segments in their corrected positions. For each of these tasks new algorithms or enhanced existing algorithms were developed and employed. The proposed process was successfully implemented on real world data and the results of the realigned road segments are shown, analyzed and verified. The realigned network showed full agreement with high accuracy orthophoto of the test area.
  Authors: Greenfeld, Joshua
  Authors: Greenfeld, Joshua
  Year: 2013
  Document Type: Paper
  Subject: Data and Information Technology
  Session: 793
  Paper Number: 13-1139
• A Spatiotemporal Data Warehouse for Vehicle Supervision: A Grid Time-Indexed Cube Approach
  Abstract: The large amounts of spatiotemporal data generated by vehicle supervision systems cannot be efficiently managed by ordinary databases, mainly due to long query responses. To overcome the limitations of ordinary databases, this paper proposes a new approach known as the Grid-Time indexed Cube (GT-Cube), which is a spatial grid-indexed, adaptive grid-based and trajectory-supported warehouse for spatiotemporal data. The GT-Cube partitions an embedded space-time into a set of size-fixed grids to form a cube that continues to grow throughout a constant time interval. Each grid is assigned an ID composed of its coordinates and start time, and an aggregated value for each grid is stored in the grid records regardless of the temporal length of the queries. Additionally, the basic grid structure of the GT-Cube remains unchanged at each time interval. Instead, this method refines the grid in a selected region to handle data skew by adaptively partitioning the grid into sub-grids. After conducting extensive performance studies based on spatiotemporal data from the main vehicle supervision system of Guangdong province, we observed that the GT-Cube achieved higher query performance than ordinary data storage technologies under various operational conditions, was easily applicable in practice, and demonstrated compatibility with traditional databases.
  Authors: Hu, Ji-hua; Cheng, Zhi-feng; Zhan, Cheng-zhi; Tang, Wei
  Authors: Hu, Ji-hua; Cheng, Zhi-feng; Zhan, Cheng-zhi; Tang, Wei
  Year: 2013
  Document Type: Paper
  Subject: Data and Information Technology
  Session: 793
  Paper Number: 13-2458
• Assist-me: Postprocessing Tool for Transportation Planning Model Output
  Abstract: In this paper, we present ASSIST-ME (Advanced Software for State-wide Integrated Sustainable Transportation System Monitoring and Evaluation), a software application developed on a customized version of the ArcGIS 9.2 Developer Engine in Microsoft .NET Framework, as a tool to visualize and analyze the output of transportation planning models in a geographic information system (GIS) environment. The tool is built on a flexible framework that allows for adoption of any traditional transportation planning model, as demonstrated in this paper using the output of two major transportation planning models from different software platforms used by separate agencies: •New York Metropolitan Transportation Council’s (NYMTC) New York Best Practice Model (NYBPM) – running in TransCAD•North Jersey Transportation Planning Authority’s (NJTPA) North Jersey Regional Transportation Model – Enhanced (NJRTM-E) – running in CUBE.ASSIST-ME was conceived as a tool to allow agencies and planners to easily work with transportation planning model output, analysis of which is often time-consuming and requires extensive training. It offers four key functionalities: Data Visualization, Demand Analysis, Path Analysis, and Benefit / Cost Analysis. While data visualization and demand analysis enable the user to easily work with direct model output, custom path and cost analysis tools were developed to conduct analyses beyond what other software packages and tools allow. In particular, the benefit/cost analysis functions utilize the latest quantification/monetization approaches employed in research and by government agencies, without the need to run external applications or procedures (such as emission functions generated from EPA’s MOVES). This process can be used for any planning scenario, but ASSIST-ME also allows for customization to alter/modify the input data or analysis procedures as per the user’s needs. The most important aspect of ASSIST-ME is that it incorporates data visualization, data analysis, and output reporting functionalities in a single user-friendly setting, which requires minimal training or knowledge of the models themselves.
  Authors: Ozbay, Kaan; Bartin, Bekir; Iyer, Shrisan; Mudigonda, Sandeep
  Authors: Ozbay, Kaan; Bartin, Bekir; Iyer, Shrisan; Mudigonda, Sandeep
  Year: 2013
  Document Type: Paper
  Subject: Data and Information Technology
  Session: 793
  Paper Number: 13-4411
• Geospatial Framework for Integration of Transportation DataUsing Voronoi Diagrams
  Abstract: This research aims at developing a framework for integration of transportation data usingVoronoi diagrams. This data integration approach uses Voronoi diagram, for decomposition ofthe dataset spatially, into smaller Voronoi cells. This decomposition of the given space uses thespatial characteristics of the datasets and their correlation. A case study has been done, for theanalysis of the hospitalization cost and the corresponding seat belt usage, in case of motorvehicle crashes. It is generally observed that the seatbelt information in crash-trauma data isbiased, and does not represent the overall seatbelt usage pattern of the region. To overcome thisbias, crash-trauma data is integrated with the survey seat belt data, using the proposedmethodology. Seat-belt survey is done every year by trained surveyors in the field, at statisticallysignificant locations, sampled to represent the entire population of the region. This integrationmethodology, using Voronoi diagram, aims to relate the two datasets, and alongside capture thegeographical variations. Entire Clark County is divided into 32 zones, based on the seatbeltsurvey locations, using Voronoi diagrams. Then, the crash data is superimposed spatially onthese 32 zones. Hypothesis testing was done to establish and analyze the relationship betweencrash-trauma data and the survey seatbelt data. Normalized hospitalization costs of each of thesezones are studied against the seatbelt usage of the region. Results show a negative linearrelationship between the seatbelt usage and hospitalization costs.
  Authors: Agarwal, Shaurya; Sancheti, Atul; Khaddar, Romesh; Kachroo, Pushkin
  Authors: Agarwal, Shaurya; Sancheti, Atul; Khaddar, Romesh; Kachroo, Pushkin
  Year: 2013
  Document Type: Paper
  Subject: Data and Information Technology
  Session: 793
  Paper Number: 13-5378
• Realignment of Road Network Maps with GPS Tracking Data
  Authors: Greenfeld, Joshua
  Authors: Greenfeld, Joshua
  Year: 2013
  Document Type: Presentation
  Subject: Data and Information Technology
  Session: 793
  Paper Number: 13-1139
• A Spatiotemporal Data Warehouse for Vehicle Supervision: A Grid Time-Indexed Cube Approach
  Authors: Cheng, Zhi-feng
  Authors: Cheng, Zhi-feng
  Year: 2013
  Document Type: Presentation
  Subject: Data and Information Technology
  Session: 793
  Paper Number: 13-2458
• Assist-me: Postprocessing Tool for Transportation Planning Model Output
  Authors: Bartin, Bekir
  Authors: Bartin, Bekir
  Year: 2013
  Document Type: Presentation
  Subject: Data and Information Technology
  Session: 793
  Paper Number: 13-4411
• Geospatial Framework for Integration of Transportation Data Using Voronoi Diagrams
  Authors: Kachroo, Pushkin
  Authors: Kachroo, Pushkin
  Year: 2013
  Document Type: Presentation
  Subject: Data and Information Technology
  Session: 793
  Paper Number: 13-5378