Route Optimization and Real-Time Traffic: Average, Predicted and Live Explained
Route optimization software can use traffic in three ways: average travel times that ignore the hour, predicted travel times for the planned time of day, or live traffic used to re-plan routes during the day. Most of a route's gain comes from a good stop order; better traffic data mainly improves arrival-time accuracy, and matters most for peak-hour city driving and tight delivery windows.
"Real-time traffic" is one of the most used and least defined phrases in route optimization marketing. This article separates the three meanings, explains when each matters, and lists the questions to ask before you pay for it. For the wider buying guide, see route optimization software for delivery fleets.
Three meanings of "real-time traffic"
| Level | What the optimizer uses | Good at | Limits |
|---|---|---|---|
| 1. Average conditions | One typical travel time per road leg, independent of the hour | A solid stop order; consistent plans | Arrival times drift in peak hour |
| 2. Predicted (time-dependent) | Travel time for the time of day each leg will be driven | Better ETAs; avoiding known peak-hour bottlenecks | Predictions miss today's crash or roadworks |
| 3. Live / dynamic re-optimization | Current traffic and the vehicle's current position, re-planning during the day | Reacting to incidents, late starts, new jobs | Needs vehicle tracking and frequent re-planning; routes can change under drivers |
Separately, almost every navigation app uses live traffic to choose the path for the leg you are driving right now. That is not the same as using traffic to decide the order of stops. See navigation apps.
What the map providers say
Google's Distance Matrix documentation is a useful reference because many tools use it or similar services. It states that if no departure time is given, "choice of route and duration are based on road network and average time-independent traffic conditions"; with a departure time, it can return a duration_in_traffic "based on current and historical traffic conditions", using a best_guess, pessimistic or optimistic traffic model. In other words, levels 1 and 2 are both standard options, and a vendor chooses which to use.
When does traffic change the best order?
Traffic changes how long each leg takes. It changes the best order only when some legs slow down much more than others at the time you would drive them. That happens when:
- Your route crosses a peak-hour bottleneck (a bridge, a motorway on-ramp, a CBD) and could cross it at a different time.
- You have tight delivery windows, so a late arrival breaks a promise.
- Your day spans very different traffic periods (early morning to evening peak).
It matters less when:
- Your stops are in dense suburbs on local streets, where every leg is short.
- You drive outside peak hours.
- You have no time windows, so a late arrival at stop 30 costs minutes, not a failed delivery.
A practical test: plan the same route for 10 am and 8 am in a tool that supports predicted traffic and compare the orders. If the order barely changes, average-condition optimization gives you most of the value; if it changes a lot, traffic-aware planning is worth paying for.
What dynamic re-optimization needs
True live re-optimization is a system, not a setting:
- Vehicle positions, usually from driver phones or telematics; see live vehicle tracking.
- Stop status in real time (delivered, failed, running late).
- A dispatcher or rules for when to re-plan, and how to tell drivers.
- Driver trust: if the order changes too often, drivers stop following it.
For a single driver, the simplest form of "real-time" is practical: when something changes, re-optimize the remaining stops from where you are, and let the navigation app handle traffic on each leg.
Questions to ask a vendor
- Do you use average, time-of-day predicted, or live travel times to choose the stop order?
- Is traffic used for the order, or only for ETAs and navigation?
- Can the route be re-optimized during the day from the vehicle's current position?
- What happens to stops already delivered when I re-optimize?
- How are drivers notified when their route changes?
- Does traffic-aware planning cost extra?
Our Routific comparison, for example, notes that Routific says it uses machine-learning models to predict time-of-day and day-of-week traffic patterns.
How MiliRoute handles traffic
MiliRoute is an AI route optimization app for couriers, delivery drivers and small delivery fleets. To be precise about what it does:
- Stop order is optimized on estimated driving times between every pair of stops from Google's road-routing data under average conditions (level 1 above), with your avoid-tolls setting. See how the travel-time matrix is built.
- Live traffic layer: the route map can show Google's live traffic layer, so you can see congestion before you set off or between stops.
- Navigation: each stop opens in your maps app, which uses live traffic for the leg you are driving.
- Changes during the day: add or remove stops and optimize again; delivered and failed stops keep their status.
That makes MiliRoute a good fit for couriers and small teams whose routes are mostly suburban drops without tight time windows. Fleets with tight delivery windows across peak-hour city traffic should look for predicted-traffic planning. For local context, see Australian city peak hours.
Conclusion
"Real-time traffic" can mean average, predicted or live travel times. A good stop order delivers most of the saving; predicted and live traffic improve arrival times and matter most for peak-hour city routes with time windows. Ask vendors exactly which level they use for the order, then test the difference on your own routes.
Try it on your routes: create a free MiliRoute account, optimize a route, and switch on the traffic layer before you leave.
Frequently asked questions
Does route optimization software use real-time traffic?
Some do, in different ways. Tools may use average travel times, time-of-day predictions, or live traffic to re-plan during the day. Ask whether traffic is used to choose the stop order or only for ETAs.
What is dynamic route optimization?
Dynamic route optimization re-plans routes during the day using current information such as vehicle positions, completed stops, new jobs and live traffic.
Does MiliRoute use live traffic to optimize routes?
MiliRoute optimizes the stop order on estimated driving times under average conditions. Its map can show Google's live traffic layer, and navigation apps use live traffic for each leg you drive.
Is predicted traffic better than live traffic for planning?
For planning a day in advance, predicted time-of-day traffic is usually more useful, because live traffic describes now, not when you will drive. Live traffic is most useful for re-planning during the day.
Does traffic data change the order of stops?
Sometimes. It mostly changes leg times. The order changes when some legs slow down much more than others at the time you would drive them, such as a peak-hour bottleneck.
Do I need real-time traffic for a suburban courier route?
Often not. Short suburban legs change less with traffic than cross-city legs, so a good stop order on average times captures most of the benefit, and your navigation app handles live traffic on each leg.