1. Inefficient Resource Allocation: Planners may struggle to allocate resources effectively for maintenance, upgrades, or conservation efforts. This could lead to overuse in some areas while others are neglected.
2. Limited Decision-Making Insights: Decisions made without spatial analysis may overlook critical factors like terrain, land use, or population density, leading to suboptimal outcomes in planning operations.
3. Higher Operational Costs: Inefficient routing and logistics in highway management, such as wasteful fuel consumption or excessive maintenance, can escalate costs significantly.
4. Safety Risks: Without mapping critical data like accident hotspots or flood-prone zones, it’s harder to implement measures that improve highway safety.
5. Missed Opportunities for Monitoring and Optimization: Geographic Information Systems (GIS) can track and analyze traffic patterns, vehicle emissions, or pavement degradation over time. Without these insights, it’s harder to implement sustainable and data-driven management practices.

Highway Asset Management

1. Dynamic asset mapping along PLUS alignment by data custodian (e.g.: blackspot, traffic volume, etc.)
2. 360° aerial virtual tour from drone data
3. Navigating capability (routing and scheduling)
4. Generate parameters (Contour, Slope, Water Flow Direction, Water Catchment) at the user selection area

System Development
The PLUS Geospatial system will be developed using Azure using serverless technology. Azure components will be used to fulfill customer requirements.

Geodatabase Restructure
(i) Existing data will be restructured database and aligned to MS 1759. This will also include data cleansing and reorganizing. All data that will be migrated to the new PLUS Geospatial application after resetting, publishing, tuning, and stabilization work are completed.
(ii) The existing data will be reassessed and restructured accordingly based on user requirements and new technical requirements. Certain GIS data, especially road and highway data, need to be topologically correct to suit certain GIS analyses, such as network routing analysis.

Establish SD-API/API
Development of SD-API and other application APIs will be developed and exposed via Azure API management gateway. The 100 SD-API/API to be
developed will provide information as requested, receive data/information (structured and unstructured data), and sync data changes.

Establish Dashboard
We will develop an attractive and readable dashboard to track the inventory and/or traffic performance. The dashboard will cover minimum requirements such as:
a. Simple Map Query
b. Query and Information summary
c. 3D visualization (graphs, charts, etc.)

We are developing using ArcGIS Operation Dashboard (existing tools in ArcGIS Enterprise).

1. Cost Savings: GIS technology helps organizations optimize resource allocation and streamline operations, leading to cost savings. For example, utility companies can use GIS to identify the most efficient routes for maintenance crews, reducing fuel costs and vehicle wear and tear.
2. Increased Efficiency: By automating repetitive tasks and providing tools for data analysis, GIS solutions significantly improve operational efficiency. For instance, in agriculture, GIS technology can optimize irrigation schedules based on soil moisture levels and weather forecasts, leading to higher crop yields with less water usage.
3. Revenue Generation: GIS can also help organizations identify new revenue streams and business opportunities. For example, retail companies can use spatial analysis to identify optimal locations for new stores based on demographic data and market trends, leading to increased sales and revenue.
4. Improved Decision-Making: GIS provides decision-makers with valuable insights by visualizing complex spatial data in an easy-to-understand format. This leads to more informed decisions across various domains, from urban planning to emergency response.