Emission-Based Signal Timing Optimization for Isolated Intersections
Emission-Based Signal Timing Optimization for Isolated Intersections
复制标题
DOI：
10.3141/2487-01
复制
发表时间：
2015-01
影响因子：
1.7
通讯作者：
Farnoush Khalighi;Eleni Christofa
中科院分区：
文献类型：
--
作者：
Farnoush Khalighi;Eleni Christofa
近年来，交通需求的持续增长导致了城市地区的许多交通问题。其中最具挑战性的是交通拥堵和相关的车辆排放。交通信号控制系统的有效设计是解决这些问题的一个有前途的方法。本研究开发一个实时信号控制系统，通过最小化车辆总排放来优化欠饱和孤立交叉口的信号配时。结合以前介绍的分析模型的基础上，交通流理论。这些模型估计每个操作模式所花费的时间（即，加速、减速、巡航和空转所花费的时间）作为需求、车辆到达时间、饱和流量和信号控制参数的函数。沿着使用车辆活动信息和车辆特定功率方法，该方法提供了每个运行模式下所用时间的排放率，以估算每个循环的总排放量。对于所提出的方法的评估，从Mesogeion和Katechaki大道在希腊雅典的交叉口的数据。通过确定性到达测试的车辆到达需求和时间的完美信息的假设下，以及通过随机到达测试在微观仿真环境中进行评估。结果表明，建议的基于排放的优化可以大大减少总排放量在信号交叉口，也可以导致减少人的延误相比，常用的基于车辆的优化在大多数情况下，即使在随机到达的不确定性。
Continuous growth in transportation demand in recent years has led to many traffic issues in urban areas. Among the most challenging are traffic congestion and the associated vehicular emissions. Efficient design of traffic signal control systems is a promising approach for addressing these problems. This research developed a real-time signal control system that optimizes signal timings at an undersaturated isolated intersection by minimizing total vehicular emissions. A combination of previously introduced analytical models based on traffic flow theory was used. These models estimated time spent per operating mode (i.e., time spent accelerating, decelerating, cruising, and idling) as functions of demand, vehicle arrival times, saturation flow, and signal control parameters. Information on vehicle activity was used along with the vehicle-specific power approach that provided emission rates per time spent in each operating mode to estimate the total emissions per cycle. For the evaluation of the proposed method, data from the intersection of Mesogeion and Katechaki Avenues in Athens, Greece, were used. The evaluation was performed through deterministic arrival tests under the assumption of perfect information of vehicle arrival demand and times, as well as through stochastic arrival tests in a microsimulation environment. The results reveal that the proposed emission-based optimization can substantially reduce total emissions at signalized intersections and can also lead to reduced person delay compared with the commonly used vehicle-based optimization for most cases, even under the uncertainty of stochastic arrivals.