Traffic Systems currently generated via interaction among nodes(Bikes, Vehicles etcetc) manifest a phenomena with multiple contradictions in relation to the goal of each node, which is to reach a destination at the most efficient time ,consistently.
Fundamentally, the concept of maneuvering across traffic could be thought as the ability to change the directional vector of the mechanical wheel and acceleration of it ,in relation to the objects of the environment ,such that a distance is achieved.
A straight road with no obstacles with a car would mean changing the wheel's direction to align with the road and accelerate constantly to reach the end of the road.
How would the above example hold for traffic in Mumbai, Hyderabad, Banglore , Taiwan etctec type places wherein the decision set of acceleration, wheel vector, leaning movement, etcetc are split into multiple discrete events not efficiently identifiable and measurable unlike the events that occur on highways?
Surely, until every node is replaced with automated systems that have trained to interact with each other ,one cannot rely on such computerized methods to survive among traffic systems. Hence distribution of knowledge among human nodes is required.
Now, What events would you train humans on such that traffic systems are made effective ?
How would such systems adapt to effective computer algorithms ?
Clusters of two-wheelers often emerge due to the space of the cluster bring effective for constant acceleration. Individual two-wheelers , split from the cluster , require to maintain constant acceleration among Traffic Systems of Mumbai , Hyderabad etcetc for effective goal achievement ,not feasible due constant interactions among nodes, that take lots of space( Cars, Trucks).
Hence ,maintenance of the cluster and splitting of it based on new routes available to two-wheelers is a decision point that is often controlling in these traffic systems.
Since this phenomena is already emerged and observable, it's identification can cause individual nodes to take efficient decisions ,such as not changing lanes when in a cluster, if the chose route would lead to
the two-wheeler among two large-space nodes(cars,trucks etcetc),causing a chain-reaction of stop-time for the nodes behind them,a common factor is traffic jams.
Such systems could replace the scam of permissions required to ride on public roads as it could easily identify the faults in traffic accidents ,if systems to detect such occurrences based on novel parameters are used.
More later on.