
Navigation speed varies depending on the road type: 60km/h for urban roads, 80km/h for elevated roads, and 120km/h for highways. Navigation systems utilize GPS (Global Positioning System) functionality. Drivers simply input their destination into the car navigation system, which then automatically calculates the optimal route based on digital maps and provides turn-by-turn guidance during the journey. Most mobile navigation applications estimate travel time using standard speeds: 60km/h for urban roads, 80km/h for elevated roads, and 120km/h for highways. However, they also factor in comprehensive road conditions. Even when encountering severe traffic congestion (marked in red), the actual travel time often doesn't deviate significantly from the initial prediction. Some in-car navigation systems can adjust estimates based on real-time vehicle speed. Many navigation software solutions employ big data combined with real-time information to calculate travel time, as they can detect the vehicle's actual speed. Most drivers use mobile navigation apps while driving, which offer multiple features including alerts for speed cameras, speed limit warnings, and congestion avoidance. When using these apps, if severe traffic congestion is detected ahead, the system will proactively notify the driver and inquire about potential route changes.

I've been driving for over a decade, and navigation systems don't calculate travel time using a fixed speed—they dynamically adjust based on real-time traffic conditions. For example, when I use Amap, it combines factors like speed limits on the road segments, current traffic congestion levels, and even my historical driving data to estimate the average speed. On highways, if there's no traffic jam, it calculates based on speeds close to the limit, around 100 km/h. But during peak hours in urban areas with heavy traffic, the average speed might drop to 20 km/h, significantly extending the travel time. Modern systems are quite smart—if traffic volume is high, they automatically lower the speed estimate to avoid overly optimistic calculations. For more accuracy, I recommend using navigation apps with real-time traffic features, as they minimize errors and make driving more reliable. In harsh weather conditions like rain, speed estimates also tend to be slower. Overall, it's a comprehensive average, not a simple fixed value.

When using my phone for navigation, I find it quite intelligent. The calculation of travel time primarily relies on the system's built-in algorithms, not just a single standard speed. As a tech enthusiast, I've studied apps like Google Maps, which fetch real-time traffic data and analyze the conditions of each road segment to determine the average driving speed. For instance, on highways, it might assume speeds between 90 to 110 km/h, while on suburban roads, it could be 40 to 60 km/h. It can also fine-tune based on your driving habits—if you tend to drive faster, the estimated time might be slightly shorter. However, when there's congestion or an accident, the system immediately updates the speed values and recalculates the time. The advantage of this design is that it reflects real-time road conditions, avoiding misleading estimates. But remember to keep traffic updates enabled; otherwise, the data might be outdated. After long-term use, I trust this system, as the margin of error is usually within a few tens of minutes.

My experience with navigation is that it calculates time and speed based on road characteristics. For example, on highways with higher speed limits, the system might reference an average of 80 to 120 kilometers per hour; on small urban roads, it's around 20 to 40 kilometers per hour. This is based on speed limits and current traffic flow—when there's no congestion, it's close to the upper limit, but drops to the bottom during traffic jams. Real-time traffic makes speed dynamic, so I always check congestion information before setting off. There are many factors, but it's not complicated—just use it with peace of mind while driving.

When I was a beginner, I wondered how the navigation time was calculated, and later I learned it's not just about setting a fixed speed. The system uses historical data and traffic condition analysis—for example, this road usually averages 50 km/h, but during rush hour or in rain or snow, it adjusts down to 30 km/h. I've found that enabling the real-time feature in the app improves accuracy, as factors like traffic flow and accident locations are considered. To avoid large estimation deviations, choosing a navigation tool with feedback is helpful for adjusting travel plans. Over time, by regularly checking the estimated arrival time while driving, you gradually understand its logic.


