VANETs (Vehicle Ad Hoc NETworks) are a special case of mobile ad hoc networks where vehicles are equiped with wireless communication interfaces. These vehicles may move at high speeds and data transmission in urban scenarios may easily be blocked by buildings and other sort of obstacles. Such factors contribute to make inter-vehicle communication intermitent and packet routing more difficult. One of the main challenges faced by routing protocols is avoiding low-traffic streets, where the lack of vehicles tend to make packet forwarding impossible. For this reason, traffic information on each street is essential for the computation of the best route between any given two vehicles. Specifically in urban scenarios, traffic light transitions cause significant fluctuations on traffic flow over time. Given this fact, this thesis proposes TLAR (Traffic Light Aided Routing), a new routing algorithm for VANETs that exploits traffic light transition timings in order to determine which streets will offer the greatest probabilities for successful packet forwarding. Simulation results indicate a good performance of this algorithm compared to existing approaches.