Fig. 137: Route Planning

Transportation Planning: GIS software was used to establish a methodology for informing and supporting strategic decision-making models, such as those used to foresee travel demand and plan capital enhancements. Furthermore, GIS systems that undertake environmental assessments give insight into the importance of different transportation options.

Fig. 137: Route Planning

Highway Asset Management: When used in asset management, GIS not only makes data collection, processing, and display easier, but also connects asset mapping with project management and budgeting systems, allowing construction, operational, and maintenance costs to be tracked and controlled by software. Asset management systems, once developed, provide a framework for allocating finite resources sustainably among competing objectives. Mobile devices with GIS capabilities and transport-based DBMS are required. Field workers may carry a wealth of GIS data, easily find key locations, and conduct thorough inspections using any number of mobile devices. New work orders for maintenance and repair may be issued in response to defects found during the inspection.

Construction Management: Companies are able to track performance using GIS, which is associated with project management and financial applications. From survey data, soils, and geotechnical analyses to planning, environmental assessments, construction drawings, and project maps, GIS helps organize all important project information. GIS also provides project employees access to these datasets and information via a browser interface.

Key Outputs

y Digital Terrain Model (DTM): Can be used for geographical calculations (monitoring stockpiles, calculating reservoir volumes, etc.), and navigation control systems (determining the location and height of all impediments located near major airports by a given distance). y 3D Break lines/ Mass Points (.dgn/.dwg/other formats): Breaklines define and regulate the smoothness and continuity of surface behaviour. These are linear features, as their name suggests. When included in a surface model, they have a considerable impact on how surface behaviour is described. y Orthorectified True Colour Composite Images (.tiff//jpg): The scale is uniform since the orthorectified image has been geometrically adjusted. Because it is an accurate picture of the Earth's surface and has been corrected for topographic relief, lens distortion, and camera tilt, it is used to measure actual distances. y Satellite Imagery: High-Resolution Satellite Images point to key areas that may be having problems. Additionally, it aids road and rail engineers in choosing the quickest and most direct routes across streets or train lines

Outcomes achieved

The GIS tool combined several data sources into a single, visual interface, facilitating the discovery of issues and possibilities from a single window. This helped reduce the time otherwise spent on planning and dealing with redundancies. State highway agencies directly benefited in terms of being able to optimize their scarce resources. The GIS platform proved useful not just for visualization, but also for information contextualization, and integrated database administration.

A dedicated mobile application was developed to facilitate routine asset inspections by tracking asset locations and automatically updating the status of such assets. All authorities are using the mobile application to gather asset data, followed by building the database for asset monitoring.

The study used open-source software for lowering the development cost of a management system. To save maintenance costs, the system was developed using free, web-based GIS software – an internet-based platform that offers client-side applications using WWW protocols operating on the global web and can contain both non-geographic and geographic information. By putting this system in place, it offers a comprehensive system that can manage and monitor road conditions and is also accessible to users online.

The use of cloud computing is enabling users to manage, analyze, and manipulate data in addition to merely storing and distributing geospatial data and business information. Additionally, this makes it possible for non-technical people or organizations, especially those with modest budgets, to access and work with geographic data. Cloud computing supports collaboration by bridging information gaps between agency tasks for the transportation industry, which is generally segregated into numerous smaller organizational units. By enabling different agency divisions to access the same data and removing duplicative data collecting processes, collaboration through cloud-based applications or systems is boosting agency activity efficiency. A greater range of data is also accessible, allowing for quicker and more efficient analysis. This improves transportation planning, decision-making, and business activity coordination.

The user who most recently created or modified the data obtained through the mobile application can be tracked by all authorized agencies. The level of control over data quality assurance that these two processes offer enables organizations to be adaptable in their strategy. Building mobile applications with the least amount of human input feasible is one strategy that agencies utilize to guarantee data quality. Agency employees can be confident that the resulting data is consistent for all stakeholders.

Contact Information

Name of Contact Person: Designation: Organization Name: Email: Phone: Yashwant Singh

Technical Manager Satpalda Trading Pvt Ltd. yashwant.singh@satpalda.com +91-7838410007, +91-9718265000

Alignment with the IGIF Strategic Pathways

S.no IGIF Strategic pathway Description and Remarks

SP4 Data

SP9 Communication and Engagement The GIS tool combined in this example combined several data sources into a single, visual interface, facilitating the discovery of issues and possibilities from a single window. This highlights supply chain linkages, data curation and delivery format. All authorities are using the mobile application to gather asset data, followed by building the database for asset monitoring.