01639nas a2200145   4500008004100000245008200041210006900123300001200192490000900204520115500213100002601368700002701394700002301421856004901444       2017                        eng d00aDeliberative Self-Organizing Traffic Lights with Elementary Cellular Automata0 aDeliberative SelfOrganizing Traffic Lights with Elementary Cellu  a76913700 v20173 aSelf-organizing traffic lights have shown considerable improvements compared to traditional methods in computer simulations. Self-organizing methods, however, use sophisticated sensors, increasing their cost and limiting their deployment. We propose a novel approach using simple sensors to achieve self-organizing traffic light coordination. The proposed approach involves placing a computer and a presence sensor at the beginning of each block; each such sensor detects a single vehicle. Each computer builds a virtual environment simulating vehicle movement to predict arrivals and departures at the downstream intersection. At each intersection, a computer receives information across a data network from the computers of the neighboring blocks and runs a self-organizing method to control traffic lights. Our simulations showed a superior performance for our approach compared with a traditional method (a green wave) and a similar performance (close to optimal) compared with a self-organizing method using sophisticated sensors but at a lower cost. Moreover, the developed sensing approach exhibited greater robustness against sensor failures.1 aZapotecatl, Jorge, L.1 aRosenblueth, David, A.1 aGershenson, Carlos  uhttps://doi.org/10.1155/2017/7691370/7691370