
Space mean speed refers to the average value of the speed distribution of all vehicles within a specific length L on the road. Factors affecting speed: The influence of road conditions, among the technical performance of road conditions, the condition of the pavement overlay has a significant impact on various assemblies of the vehicle. Good road conditions lead to favorable vehicle operating conditions; conversely, poor road conditions result in worse vehicle operating conditions. Transportation conditions, in addition to driving speed, include the length of the transport trip, trip utilization coefficient, load mass utilization coefficient, trailer utilization coefficient, and the type of goods transported. Climatic and natural conditions, natural climate conditions affect the working temperature state of vehicle assemblies, altering technical performance and operational reliability. Maximum speed of a car: Generally, the maximum speed of small cars is below 180 mph, high-end imported cars can reach speeds of 250 mph, and high-end imported sports cars can compete with high-speed trains, reaching up to 350 mph.

Space mean speed refers to calculating the average speed of all vehicles over an entire road segment. For example, if you drive from home to work, it's the sum of all vehicles' speeds on that route divided by the number of vehicles. This is completely different from using a radar gun at the roadside to measure the instantaneous speed of passing vehicles—spot speed only represents a momentary value, whereas space mean speed better reflects the overall traffic flow efficiency on that road section. I frequently use this data in driving record analysis because applications like urban traffic congestion monitoring and navigation apps' ETA predictions are based on space mean speed—it helps me avoid rush hours or choose detours. On highways, if the space mean speed is too low, it indicates severe congestion, prompting me to immediately check traffic updates.

Space mean speed refers to the average speed of all vehicles over a certain distance, simply put, it's the average speed of driving on the entire road. As a driver who frequently takes long-distance trips, I have a direct feeling—if the navigation shows an average speed of 50km/h on this road, it might be smooth; if it's only 20km/h, it's probably congested. This is different from temporary speed measurements at intersections, as it tells me how the overall road conditions affect travel time. When driving, I refer to the average speed in map apps to plan departure times or change routes, avoiding getting stuck in traffic; it's especially useful for long trips. If the space mean speed indicates a slippery downhill section, I slow down in advance to prevent accidents.

Space mean speed refers to the average speed of all vehicles on a specific road segment, which I understand as a parameter measuring the efficiency of overall traffic flow. It differs significantly from time mean speed at a fixed location—time mean only calculates speed at a single point, while space mean covers the entire road section. In practical traffic management, for example, when I use sensor data to calculate space mean speed during peak traffic, a low value indicates congestion requiring intervention, such as real-time signal adjustments or traffic diversion. This metric is highly valuable for optimizing urban networks and reducing emissions—the more accurate the data, the smarter the decision-making.


