WARNING: either exclude today's incidents or restrict the time range for a fair comparison with last year, since there might be more incidents as the day progresses.

EIN counts

If the selected period is longer than than 60 days, lines are used instead of bars.

Counts by day of week

Tooltip shows average temperature, precipitation, snow accumulation and visibility at incident locations.

Counts by hour

Tooltip shows average temperature, precipitation, snow accumulation and visibility at incident locations.

Counts

All details

Weather (unavailable for today's incidents):

Incident cameras (if any):

ATMS details:

Weather condition details (unavailable for today's incidents):

ATMS Dashboard Details

This dashboard uses five data sources:

• ATMS from Iowa DOT
• Work zones
• Weather from Visual Crossing
• Camera inventory
• Video annotations

ATMS from Iowa DOT. The incidents reported by the Advances Traffic Management System (ATMS) on a daily basis. The data are up-to-date until the moment the dashboard is loaded.

At the end of every day, ATMS incidents of the day that just finished and the day before are added to existing database of ATMS incidents, replacing existing incidents with the same ATMS IDs. This prevents instances when an incident had not finished by the time the database is updated. When the dashboard is launched, the incidents of the current day are added.

Work zones. The list of work zones is provided by … For the time being, the list includes all the work zones that have been active at some point in 2022. Future plans include an update with estimated start and end of a work zone.

Weather data. Weather data are located at every location of an incident. They are pulled from visual crossing- including the weather icons- on a daily basis.

Camera inventory. The list of active and inactive cameras is downloaded on a daily basis from LSS. The most recent snapshot is displayed for active cameras.

Video annotations. The entity relationship diagram of the ATMS video annotation process is below, which are described as:

1. Receive the ATMS incidents for a single day with all of their attributes.
2. Select all the incidents described as crashes and download the video of the nearby cameras. The videos are downloaded from an hour before the incident was reported, until the road has been cleared. There could be zero or multiple incidents associated to a crash.
3. Students browse the video. They indicate

• if the crash is visible, the camera focus on the crash after it happened, if there was a queue, etc.;
• the most notable time stamp (i.e., if the crash is visible, the instant at which the crash happened);
• if the crash occurred in a work zone, and
• if there were more than one incident in that video clip.

4. For those videos with a crash or crash-related incident,

• an annotated image is generated indicating the time of the incident and the location on the image;
• a 2-minute long video centered around the incident is generated, and
• a an animated image (GIF) is also created around the incident.