A Simulation in Real Urban Environment

To prove ATCB is still effective in real world, we have designed a road network of Taipei City in Taiwan, a rough map is shown in Figure 16. This network has 16

intersections. And we have select 5 real bus routes to simulate.

The result is shown in Table 8, and we can find that the result is similar to the performance in Table 7, that can prove our method ATCB is still effective in a real road network. But because the size of this map is small, so the benefits of reducing waiting of buses are more obvious than the benefits of buses headway and bus schedule than the result of the bigger map.

Shimin Blvd

Zhongxiao East Rd

Renai Rd

Xinyi Rd

Guangfu South Rd

Dunhua South Rd

Fuxing South Rd

Jianguo South Rd

Figure 16. Road network of Taipei City

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Table 8. Simulation result of a real urban environment Scheme Total waiting

time of

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Chapter 6 Conclusion

In this paper, the adaptive traffic signal control system (ATCB) has been proposed for ordinary vehicles and buses in urban environment. We adopt non-fixed phase scheme, and we use collected traffic information from detectors on roads and buses to determine the next phase and the phase should be allocated. To determine which phase is suitable to be adopted, we concern the passengers’ waiting time and bus priority which include bus headway deviation and bus schedule delay to determine the demand of each phase.

And the phase which cause lowest passengers’ waiting and improve schedule delay and headway deviation will be selected. The simulation results show that ATCB performs better at reducing passenger’s waiting time at least 40 percent, and improving schedule delay at least 17.5 percent, and headway deviation of buses at least 6 percent.

For the future works, the prediction model of traffic flow is also an important point in traffic signal control systems, and we could have better performance by implementing the prediction model of traffic flow in our system. Furthermore, we will try to use the information of neighbor intersections to design better control scheme.

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