When Working Traffic Lights Stop Working: The Paradox of Human Intervention

 By Sebaggala Richard (PhD)

Few days ago, I found myself stuck at a traffic junction in Kampala. It was not because the traffic lights had failed. It was not because there had been an accident. It was not because the road had been closed. The traffic lights were working perfectly well, changing from red to green and back again. Yet, strangely, they no longer mattered. Traffic officers had taken over the junction, stopping one side of the road for what felt like an unreasonable length of time while allowing another side to move almost continuously.

 

For those of us waiting, the frustration was not just about delay. Kampala drivers are used to delay. What made the situation more painful was the feeling that the system had become unfair. The lights kept changing, but our turn never came. One side of the road seemed to have been given priority, as if the people in the other cars had more important business than the rest of us. In that moment, the question that came to my mind was not simply why traffic was moving slowly. It was why a functioning rule-based system had been suspended and replaced with human discretion.

 

That small moment at a Kampala junction says something much bigger about how societies are organised. Traffic lights represent a rule-based system. They coordinate strangers without asking who they are, where they are going, or how important they think their journey is. When the light is red, you stop. When it is green, you move. The system may not be perfect, but it is predictable. More importantly, it is impersonal. It does not favour the powerful, the impatient, or the well-connected.

 

Traffic officers represent a different form of coordination. They rely on judgement. In some cases, this can be useful. If one road is heavily congested and another has very few vehicles, an officer may decide to give more time to the busier side in order to clear the queue and prevent wider gridlock. In principle, this is not unreasonable. A good traffic system should not always treat unequal conditions equally. Sometimes efficiency requires giving more attention to the side where congestion is worse.

 

But this is where the problem begins. Discretion only improves outcomes when it is guided by evidence, clear rules, and accountability. Without data on queue lengths, traffic volume, waiting time, and spillover effects, human judgement can easily become arbitrary. What may look like traffic management to the officer can feel like punishment to the people waiting. The officer may believe he is solving one problem, while creating another problem of frustration, mistrust, and perceived unfairness.

 

Economics helps us understand why people become angry in such situations. Human beings do not only care about outcomes; they care about how outcomes are produced. A driver may tolerate waiting if everyone else is also waiting under a clear and predictable system. But when one lane moves continuously while another is held for thirty minutes, people start comparing their treatment with that of others. The loss is no longer just time. It becomes a loss of fairness. This is why workers compare salaries, taxpayers compare tax burdens, and citizens compare access to public services. People want efficiency, but they also want procedural justice.

 

The Kampala traffic junction therefore becomes a mirror of a wider institutional challenge. In Uganda, we often have formal systems, but we frequently suspend them in favour of personal intervention. We have rules, but we also have exceptions. We have procedures, but we also have someone who can override them. We have institutions, but we often rely on individuals to make them work. The result is a society where people learn not only to follow rules, but also to look for who has the power to bend them.

 

This is not just a traffic problem. It is a development problem. Investors care about predictable regulations. Businesses care about predictable taxes. Students care about predictable academic rules. Citizens care about predictable public services. Drivers care about predictable traffic systems. In all these cases, predictability reduces the cost of decision-making. When systems are predictable, people can plan. When systems depend too much on discretion, people spend their energy trying to interpret, negotiate, or survive the mood of the person in charge.

 

The irony is that discretion is often introduced in the name of solving immediate problems. A traffic officer may override the lights because the junction appears congested. An administrator may bypass a procedure because the process appears slow. A public official may create an exception because the formal rule appears inconvenient. In the short run, this may look practical. But when exceptions become normal, rules lose authority. People stop trusting the system and start looking for personal routes around it.

 

This is one of the quiet differences between strong institutions and weak ones. Strong institutions do not depend on exceptional individuals to function every day. They are designed to work even when nobody is watching closely. A traffic light is not wise, but it is consistent. It does not get tired. It does not favour one road because someone important is coming. It does not punish one lane because the officer misjudged the queue. Its strength lies in its impersonality.

 

Of course, this does not mean traffic officers are useless. Emergencies happen. Accidents happen. Presidential convoys happen. Roads flood. Junctions become overwhelmed. In such moments, human judgement is necessary. The problem is not discretion itself. The problem is discretion without discipline. A well-managed city should know when officers may override traffic lights, for how long, under what conditions, and with what accountability. Otherwise, intervention becomes improvisation, and improvisation becomes disorder.

The deeper question is whether we are building systems that reduce the need for constant human rescue. Development is not only about constructing roads or installing traffic lights; it is about building institutions that are trusted enough to operate. If every functioning system still requires someone to stand over it, interrupt it, and reinterpret it, then the real problem is not the technology—it is institutional confidence.

However, change is possible. Just a few days ago, I went to renew my driving permit, and the efficiency with which the process was completed left me wondering, for a moment, if I was still in Uganda. It served as a powerful reminder that even in a landscape often defined by disorder, pockets of effectiveness exist. That experience demonstrated that efficient public service delivery is not just a dream—it is a tangible possibility, and it brings with it the kind of predictability and ease that every citizen deserves. I often find myself wishing that all our institutions functioned with the same clarity as our driving permit services; if they did, Uganda would truly be a different place.

Ultimately, we must recognize that the difference between order and disorder is rarely the absence of systems. Too often, it is simply the refusal to let those systems do their work.