GIS for Transportation

Driver Safety

Today, driver safety impacts more than just the individual. Making sure that the driver will safely navigate their daily schedule while maintaining service level agreements impacts both customer relations and the company’s safety record.

Geospatial technology provides the ability to collect and monitor sensor information from vehicles, analyze results and determine vehicle maintenance schedules. This is just one of many use cases that reduce costs and the company’s carbon footprint. It will also provide valuable insights into good driving habits, asset management, and support more efficient routing.

Fleet & Workforce Management

Manage fleet assets more effectively by optimizing local and long-haul routes between depots and delivery points with information such as traffic congestion, weather, bridge heights and other data which can lead to better adherence to delivery schedules. Create an integrated transport management solution across all roadways including freeways, arteries, and urban surface streets. Assign personnel to the right location at the right time with geospatial solutions.

Last Mile Delivery

Deploy your field service teams by optimizing routes so that you can reliably sustain service level agreements. Maximize performance of your fleet and mobile workforce by monitoring traffic and weather patterns thereby reducing travel time and improving key performance indicators. Employ post-trip analysis for more efficient routing and deployment based on time, tolls, fleet composition and fuel expenses.

Regulatory Compliance

Pinpoint routes in which physical and legal restrictions can impact speed and efficiency. Ensure compliance by using multiple attributes such as bridge heights, speed limits, prohibited hazardous materials and environmental zones. This can be critically important to identify routes that cross certain state, provincial, county or city boundaries.

Customer Engagement

Optimizing public transport infrastructure, such as routes for bikes, buses, trains, and metro services, is paramount to reducing traffic and improving road safety. Analyzing commuter patterns through origin-destination matrices and spatial models allows cities to provide the right services to the people who need it most. Visualize transit assets in real-time using a web mapping portal and allocate resources where necessary.