Intersection Control as a Shared Decision Process.
详细信息
- 作者：Isukapati ; Isaac Kumar.
- 学历：Doctor
- 年：2014
- 毕业院校：The University of North Carolina
- ISBN：9781321583427
- CBH：3690288
- Country：USA
- 语种：English
- FileSize：4766434
- Pages：105
文摘
This research introduces a novel way to develop a signal control strategy in which drivers figuratively and literally) play an active role in making control decisions. A bid-based control strategy is proposed to explore these ideas. In the proposed framework there are high and low value-of-time drivers that interact with movement managers by paying compulsory and voluntary fees to reduce their delays. The movement managers,one for each turning movement,place bids for control of the intersection. A municipality receives the bids and decides which movement managers win. First-price bidding is employed. The thesis describes what these players do,how they interact,influence of data availability on how they behave,and how their decisions influence the resulting signal timings. To facilitate the examination of these ideas,an agent-based simulation model of the strategy is created in Python. The simulation model involves an intersection involving two single-lane one-way streets with a total intersection volume held constant at 1500 veh/hr/lane. The analysis for three traffic flow combinations is presented. For a given input volume on the facility,the program creates a sequence of arrival headways for both approaches. The arrival headway distribution is generated from a shifted negative exponential distribution with a minimum headway of 1.5 seconds and an average headway consistent with the arrival flow rate. A Python-based model of actuated control is also developed for the purposes of benchmarking the analysis. These two simulation models exist within the same analysis program. Creation of the simulation model illustrates that fact that signal control strategies can be created by using auctioning principles. The Preliminary findings from the simulation are encouraging and suggest that there is value in viewing traffic signal control as a shared decision process.