科研之友
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摘要
Traffic signal control at signalised intersections in urban cities has significant impacts on traffic performance. Connected-vehicle data, which is wirelessly transmitted by individual vehicles to roadside units, produces a clearer picture of traffic. Using this source of new data, an adaptive signal-control algorithm was developed with the aim of reducing traffic delays at intersections. A certain type of traffic-state information (elapsed time, vehicle stops or queue length) was first integrated for each traffic phase to reveal current traffic conditions. Phase sequence and duration were then adjusted, with the maximum and minimum restrictions of green time. The proposed algorithm was tested in an intersection simulated in the Vissim software package and the algorithm based on elapsed time was found to perform best. A comparison of the elapsed-time-based control scheme and the optimal fixed control scheme indicated that the former scheme outperformed the latter, with lower average vehicle delays in each traffic demand case even under low connected-vehicle penetration rates and with less variance in average delay for each traffic movement in most scenarios. In summary, the proposed signal-control algorithm could improve the operation of isolated intersections efficiently and serve all traffic movements in a more impartial way.
