Institute of Transportation, MOTC

Ting-Yin Chang, 2006.07

Feng Chia University - Graduate Institute of Traffic and Transportation Engineering and Management

 　　In order to enhance the efficiency of transportation systems, dynamic transportation planning procedure could improve the planning of transportation systems in the context of Intelligent Transportation Systems (ITS). Dynamic models have been developed to utilize ITS technologies; however, results from the dynamic models have not been able to integrate with traditional planning procedures in order to evaluate future traffic conditions. Traditional transportation planning procedures, due to the static essence, could only be applied in long-term transportation projects. Under ITS, real-time or daily operations of traffic measures depend on long-term planning results; however, current planning procedure could not provide fundamental functions for dynamic analysis. In order to capture dynamic traffic characteristics, transportation planning models should play an important role to integrate basic data with real-time traffic management and control.
　　In transportation planning procedures, heuristic algorithms have been developed to manage transit assignment. None of the heuristic algorithms proposed considers congestion effects over the transit system. The problem is defined as transit-assignment problems (TAP). The assumption is made that all transit lines have unlimited capacity to accommodate any amount of demand that they could face. If vehicle capacities and waiting times are taken into account, the problem is called transit equilibrium assignment problems (TEAP).
　　This research is to integrate transit assignment into dynamic transportation planning procedures. The simulation-assignment model of DynaTAIWAN is applied to simulate traffic flows in both road and transit networks. Furthermore, user can simulate the traffic flow in the network through DynaTAIWAN, and can assess the relevant management measures with this system, to assist in drafting the scheme, and inspect the rationality of every unit and parameter, and analyze the headway of bus and the basic variations of schedule that is applied to dynamic analysis of network of the intelligent transportation system.
　　The overall system is illustrated through numerical experiments, based on a test network, and dynamic variations in traffic flow patterns and transit operations are observed and compared under different assumptions.