Duration: 14:39

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With the increasing number of vehicles, traffic levels are also increasing all over the world giving rise to many new and unique traffic scenarios. At the same time there is advancement and digitization of hardware which is useful for real-world traffic management like adaptive traffic lights, speed detectors, pollutant emission level sensors, smart cameras etc.

However many of these hardware devices and sensors are expensive and need to be placed at locations where it will be most useful and beneficial. Simulations and data-driven techniques are useful to make these decisions accurately. In our presentation, we will demonstrate and present the results of simulation of three such scenarios described as follows: i) Deadlock detection scenario demonstrates in real time which junctions are in a deadlock state i.e. vehicles in all directions at the intersection are queued up.

ii) Emission detection scenario presents a graphical visualization of the level of emissions of different kinds of pollutants at all the junctions in the network.

iii) Placement of speed detectors scenario can be used to identify precise locations in the network which are most prone to speed limit violations. These simulations work on any road network and with different kinds of traffic flows and modalities.

The simulations can be used in following ways:

i) To make real-time decisions in any real-world road network. For example, detecting highly stressed junctions and adjusting the adaptive traffic lights accordingly.

ii) To recommend precise locations in the road-network to setup hardware devices like sensors and detectors. For example, exact locations to set up specific pollutant emission sensors or speed detectors can be recommended.

iii) As an underlying layer which can be used to evaluate interventions on the network. In future, we plan to build on top of these scenarios to design algorithms which can evaluate interventions on the road-network, for example, making roads one-way etc.