Connected Vehicle Data compared with XVision

See Beyond Vehicle Movement.

Connected vehicle data is powerful for speed, travel time, origin and destination, rat-running and network screening. XVision uses it where it can answer the question, then adds physical observation when the location itself must be understood.

Discuss a Location Compare with Connected Vehicle Data

The XVision difference

One location. Every source connected.

Use what you have

Use connected data when it can answer the question. Add XVision observation when the investigation depends on vulnerable road users, physical behaviour, scene context or video evidence.

Command is the location-centric software layer. It brings together existing CCTV, uploaded video, connected vehicle data and third-party transport data with Scout, EagleEye and Outpost. Come back to the location to see what happened, what changed and whether it worked.

Where XVision adds capability

01 / CONNECT

Screen the network first.

Use connected data to identify speed, route, travel-time and movement patterns before deciding where closer observation is justified.

02 / UNDERSTAND

Observe the physical scene.

Use Scout, EagleEye, existing CCTV or uploaded video for crossings, yielding, parking, loading and exact multimodal interactions.

03 / ACT

Bring both views together.

Keep connected data, observations, evidence, interventions and before/after results around the same location in Command.

Buying guide

Compare the best-fit approach.

This is a complementary comparison. Connected data explains how sampled vehicles move across the network. XVision Command can use that insight alongside CCTV, video and roadside observations to explain what is happening at the location.

Agency decisionConnected Vehicle DataXVision ecosystem

Network screeningStrong for broad vehicle movement and historical patternsUse connected data in Command to identify locations for investigation

Speed and travel timeStrong for sampled vehicle speed and journey analysisCombine network patterns with location evidence when the question requires it

Origin, destination and routesStrong for OD, rat-running and route behaviourUse the connected source directly and attach findings to the location

Physical sceneThe roadside environment is not directly observedAdd CCTV, video or XVision sensing to see what is happening

Vulnerable road usersVehicle datasets do not directly observe every road userObserve pedestrians, children, cyclists and scooters at the location

Behaviour and interactionsShows vehicle movement patternsAdd yielding, crossing, parking, loading and near-miss context

Evidence and follow-upProvides defensible movement trends and historyCombine trends with visual evidence, interventions and before/after results

Best-fit decisionUnderstand how vehicles move across the networkUnderstand what is happening at the location and why

Swipe horizontally to compare

Directional buying guide based on publicly described capabilities and common deployment patterns. Confirm coverage, integrations, accuracy, retention and service levels for your requirements.

Data-to-evidence planning session

Match the data to the question.

Bring one network pattern or priority location. Leave with a plan for using connected data, physical observation and follow-up evidence together.

Recommended data sourcesInvestigation or operationEvidence-to-outcome plan

Plan My Data Review