Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: It is widely accepted that travelers value both the reliability of travel time and its mean or expected value. Strategies for traffic signal control typically seek to optimize average travel times, although reliability is in general not explicitly taken into account. ,  propose a new framework for evaluating the consequences of signal-control tactics on both reliability and expected values of travel time, based on an analytic model of travel time distribution. A genetic-algorithm-based approach is then employed to identify optimal multicriteria signal control strategies, including sensitivity analysis, to the relative ighting beten reliability and expected value.  expose the properties of the proposed framework via an empirical case study of four alternative optimization approaches (the signal setting optimized with the traditional bster's method, TRANSYT model, and the newly proposed model) under various traffic conditions. Results indicate that the newly proposed framework outperforms the alternative signal control strategies in terms of both travel-time variability and expected travel time.
['Fangfang Zheng', 'Henk J van Zuylen', 'Xiaobo Liu', 'Scott Le Vine']
I am writing a research paper on a idea Reliability-Based Traffic Signal Control for Urban Arterial Roads
[{"from": "human", "value": "I am writing a research paper on a idea Reliability-Based Traffic Signal Control for Urban Arterial Roads"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: It is widely accepted that travelers value both the reliability of travel time and its mean or expected value. Strategies for traffic signal control typically seek to optimize average travel times, although reliability is in general not explicitly taken into account. ,  propose a new framework for evaluating the consequences of signal-control tactics on both reliability and expected values of travel time, based on an analytic model of travel time distribution. A genetic-algorithm-based approach is then employed to identify optimal multicriteria signal control strategies, including sensitivity analysis, to the relative ighting beten reliability and expected value.  expose the properties of the proposed framework via an empirical case study of four alternative optimization approaches (the signal setting optimized with the traditional bster's method, TRANSYT model, and the newly proposed model) under various traffic conditions. Results indicate that the newly proposed framework outperforms the alternative signal control strategies in terms of both travel-time variability and expected travel time."}]