Research was undertaken with the aim of contributing to both short- and long-term measures to combat congestion problems in urban areas. The product of this research will provide planners with a planning tool for short-term diversions to avoid traffic bottlenecks. With respect to long-term measures, this research effort parallels the goal of one of the Intelligent Vehicle/Highway Systems element referred to as Advanced Traffic Management Systems. Though future proposals for the integrated IVHS are impressive, its long term nature, capital intensiveness and cost effectiveness make the short-term measures still attractive. The product of this research is thus believed to find useful applications in both short- and long-term advanced traffic control systems. Knowing traveler destinations is essential in meeting the user need in establishing diversion strategies. With this intent, a destination estimation model based on a linear programming approach is developed in this research. This model has undergone successful testing on a hypothetical network and the results compare favorably with the O-D trip table estimation models. The major advantage of this model is its speed of execution.


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