Accelerating the search for optimal dynamic traffic management : improving the Pareto optimal set of dynamic traffic management measures that minimise externalities using function approximations

Fikse, Kornelis (2011) Accelerating the search for optimal dynamic traffic management : improving the Pareto optimal set of dynamic traffic management measures that minimise externalities using function approximations.

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Abstract:In the past decades traffic demand has been increasing nearly continuously, which has provided governments all over the world with significant challenges. In the Netherlands constructing new roads is, due to various reasons, not longer considered to be the solution, the focus is now more on efficient use of existing infrastructure. One of the instruments that is frequently used to increase the efficiency of infrastructure is Dynamic Traffic Management (DTM). In DTM we use different measures such as directing traffic through traffic lights, adding or removing lanes and variable speed limits to provide road users with the ‘best possible’ infrastructure. It is however difficult to determine what is ‘best’, especially now environmental and safety issues are becoming more and more important. The best possible set of measures from a travel time perspective, may very well result in very high CO2 emissions, annoyance due to excessive noise and many fatalities. It is therefore that research is being done on determining a set of possible DTM applications that can be considered the best solutions. Here ‘best’ means that these solutions are not outperformed by any other solution on all objectives. Unfortunately finding all solutions in this set is impossible, it would easily take millennia to find them. Science has therefore resorted to finding only a part of this set (but a representative one) using heuristics such as Genetic Algorithms. However finding a part of this set using this method still takes months, which is unacceptable in the traffic and transport consultancy business. It is here where our research takes off.
Item Type:Essay (Master)
Clients:
Goudappel Coffeng
Faculty:ET: Engineering Technology
Subject:56 civil engineering
Programme:Civil Engineering and Management MSc (60026)
Link to this item:http://purl.utwente.nl/essays/59773
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