Calibration and Optimization for Adaptive Toll Pricing
In this paper, the authors present an adaptive toll optimization methodology and develop improved calibration algorithms in order to apply the methodology in the context of managed lanes where the decision on toll is taken real-time (every 5 minutes). The development of the framework for a real-life case study needs significant calibration work. The effectiveness of the toll optimization algorithm can only be tested when the demand and travel behavior are represented accurately. Therefore, in this paper calibration of the simulation platforms is addressed, based on the real data available for the case study. Then the adaptive toll optimization approach is evaluated with preliminary results. The toll optimization is based on predicted traffic conditions provided by a mesoscopic traffic simulator, DynaMIT. The toll optimization is fully integrated with DynaMIT to find the best toll that provides maximum revenue subject to network conditions given by tolling regulations. Following a good calibration, it is shown that the proposed methodology improves the revenue without deteriorating the traffic conditions on the managed lane.
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Supplemental Notes:
- This paper was sponsored by TRB committee AHB15 Standing Committee on Intelligent Transportation Systems.
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Authors:
- Zhang, Yundi
- Atasoy, Bilge
- Ben-Akiva, Moshe
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Conference:
- Transportation Research Board 97th Annual Meeting
- Location: Washington DC, United States
- Date: 2018-1-7 to 2018-1-11
- Date: 2018
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 19p
Subject/Index Terms
- TRT Terms: Adaptive control; Algorithms; Approximation (Mathematics); Calibration; Case studies; Managed lanes; Mesoscopic traffic flow; Optimization; Pricing; Revenues; Stochastic processes; Tolls; Traffic simulation; Travel behavior; Travel demand; Travel time
- Identifier Terms: DynaMIT (Computer program)
- Subject Areas: Economics; Finance; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01660487
- Record Type: Publication
- Report/Paper Numbers: 18-05863
- Files: TRIS, TRB, ATRI
- Created Date: Feb 20 2018 9:29AM