Using Technology to Make Roads Safer: Adaptive Speed Limits for an Intelligent Transportation System

Adaptive speed limits (ASLs) is a promising technique that can be used to enhance the driving conditions on various road types. Consequently, a tremendous reduction in social costs can be achieved in areas such as accidents, pollution, congestion, noise, and greenhouse gas emissions. One of the essential factors in determining the efficiency of variable speed limit traffic systems is the dissemination of the adjusted speed limit. Several research studies indicate that in-vehicle driver notification significantly outperforms dynamic roadside speed limit signs.

[1]  J. Piao,et al.  Safety Impacts of Variable Speed Limits - A Simulation Study , 2008, 2008 11th International IEEE Conference on Intelligent Transportation Systems.

[2]  Guillermo Acosta-Marum,et al.  Wave: A tutorial , 2009, IEEE Communications Magazine.

[3]  Jordi Vitrià,et al.  Traffic Sign Recognition Using Evolutionary Adaboost Detection and Forest-ECOC Classification , 2009, IEEE Transactions on Intelligent Transportation Systems.

[4]  Matthew J. Barth,et al.  An energy and emissions impact evaluation of intelligent speed adaptation , 2006, 2006 IEEE Intelligent Transportation Systems Conference.

[5]  Fei-Yue Wang,et al.  Data-Driven Intelligent Transportation Systems: A Survey , 2011, IEEE Transactions on Intelligent Transportation Systems.

[6]  Michael D Meyer,et al.  Crashes vs. Congestion – What’s the Cost to Society? , 2008 .

[7]  Li Li,et al.  Gateway Placement and Packet Routing for Multihop In-Vehicle Internet Access , 2015, IEEE Transactions on Emerging Topics in Computing.

[8]  Thomas Albrecht,et al.  Applications of real-time speed control in rail-bound public transportation systems , 2013 .