Introduction to transportation problem statistics can help a lot of people in various ways. The problem is mainly caused by the high demand for transportation which causes increased capacity of vehicles and makes travel more comfortable. This increased comfortable traveling can be improved by better management of traffic congestion along with more efficient use of existing resources. One of the most common methods of managing these resources is known as the Matrix Minimum System or commonly called the NIMS.
NIMS basically consists of three different parts which include the Vehicle, Traffic, and Purpose. Every part has its own contribution to improve traffic congestion. There are many different ways on how to analyze and determine which part has contributed more to the increase in traffic congestion. Some of the most common ways are the use of Vehicle-related statistics, the Functional analysis which looks into the behavior of people inside the vehicle, and the Purpose oriented method which studies the effect of transportation on the environment.
One of the oldest methods is the discrete sampling method which is often used today. In this method, statistics are collected from many sources and are analyzed through mathematical calculations. The process is made easier by the use of computing tools which allow the estimation of rates without the need of aggregations. This method is commonly used in transportation planning. The discrete sampling method was made popular by Cook, Cutler and Rolfing. It is widely used today by most governmental agencies all over the world.
Another popular way to study traffic density is the optical density technique which is also called the transit simulation method. This method is commonly used in the area of bus transportation, where the number of vehicles on a bus route is closely studied so that the effects of delays can be predicted. This method was widely applied in Chicago during the late twentieth century. During those times, the density of traffic was known to cause a negative impact on revenue. The main aim was to reduce traffic in order to increase revenue.
The third methodology is the mathematical formulaic approach which uses finite data to generate an approximate estimate of the effects of a change in parameters or variables. It is usually used in environmental and engineering applications. This is called the dynamical transportation model. This model assumes that the number of vehicles on a vehicle route will remain the same throughout its existence. This then leads to the use of finite elements such as time and acceleration.
The finite element time is used in order to calculate the arrival time of an automobile at a certain place. In the transportation planning process, the time spent on travel from point A to point B is then used as the dependent variable for the overall amount of traffic that will pass through the system. The other two components, rate of speed and average speed of vehicles, are also taken into consideration. The overall total of all the measurements is called the frequency with which vehicles travel throughout the system.
The fourth methodology which is used to study the transportation problems faced by cities is the statistical analysis. Here, the analysis is done based on aggregated data from many sources, such as agency records, real-time data obtained from sensors, and historical data. By using this method, researchers can study the relationships among various factors which contribute to the occurrence of transportation problems in a city.
The fifth and last method is known as the mixed methods. This is where the analysis of data from several types of sources is combined in order to come up with a solution which can be used in transportation planning. These include both traditional statistical analysis as well as more contemporary techniques of statistical inference. This method is very commonly used in industrial and transportation planning. Furthermore, it has also proven to be quite effective in improving the accuracy of decision-making regarding the transportation of a certain type of goods, as well as of people.