The traffic engineers have studied and researched that the system of lean supply chain algorithm has used to control the traffic in a crossing of four-way lane. The requirement was accumulated through observation, and the process of interview has been referring to the database of real data. The requirement specifications have been added the components needed for implementing a particular software process. It also has incorporated some key points about the nature of application domain type. It might be highlighted that these constraints may change according to the application domain. The initial requirements specifications would hence include:
1. A formal definition of the primary components has required the system to implement (e.g. the use of lean supply chain algorithm).
2. A description of the data attribute structure of the functional objects/or attributes in the software system.
In the Table 1, had shown the specific data of requirement which has procured from the State ministry of transportation, Port Harcourt Nigeria. The system of lean supply chain algorithm has used for traffic light system to develop the parameters system, where context was built. Also this design has used the real time data base of the roads. It has been consisting of an input layer, optimization layer and decision layer. The Architecture of Predictive/decision making System is shown in Fig. 5.
The system has been consisting of input layer, optimization layer and decision layer. The lean supply chain algorithm has developed and found the set of parameters in low cost in the optimization layer. The low error has meant to be least cost by an objective function. A decision layer has taken decision based on the condition of input against a reference value.
The lean supply chain algorithm has developed and found the set of parameters in low cost in the optimization layer. The low error has meant to be least cost by an objective function. A decision layer has taken decision based on the condition of input against a reference value.
Optimization layer has used the technique of AI to develop and found the set of sensor setting parameters in low cost. The low error has meant to be least cost by an objective function which would be used by the decision module for optimization of road efficiency. Decision modules have produced the algorithm as based on the input data which has been against the reference value, and that would be discover on the sensor in the road traffic light control system. In these days, these direct methods had been worked for St. Pete, but growth was steady. Areas in the interstates had been expanded, and there would be impossible to expanding outwards.
Lean supply chain algorithm has used to develop the road, which has been fit the nature and it would be better on alternative roads like cycling, cars and bus to reduce the number of cars on the road. The advance sensors roads in the city have to adjust the signals automatically for the system of real fix time road nature. In the most of the cities the lean supply chain algorithm sensing technology had largely limited to induction loops embedded in asphalt. These loops could omit a single vehicle has been waiting on a small side road which has triggered a green signal across a major artery. But this couldn’t differentiate a single car from the heavy traffic jam. Newer sensors couldn’t omit only the density, but it could have differentiated between cars, buses, bicycles, and pedestrians, and these shows the algorithms dish out green lights with a bigger picture in mind. So, lean supply chain algorithm has used the best fit to research and review the nature of the road to choose the best path. The system is further explained using a component diagram as shown in Fig. 6.
The component of the system had been made up of three parts:
i. Input Module (Traffic Data Collection Module): This module has collected the data of the traffic on the road. This data had included the number of cars on the road.
ii. Process Module (Traffic Data Analysis Module): This module had used the Lean supply chain algorithm to analyze the data to control the pattern of traffic on the road
iii. Output Module (Traffic Control Module): This module would have used to analyze data to control the traffic on the road. The snapshots of the various modules that make up proposed Traffic Management Simulation System along with a description of their functions are shown in Fig. 7, 8, and 9.
Figure 7 was the System Login Form that has permitted the user to submit the login details to access into the system. The Simulation Setup Form of Fig. 8 has permitted the user to setup a simulation exercise. The simulation window form (see Fig. 9) has displayed the graphic simulation of traffic on the intersection of the Roads A and B.