Optimized Lane Assignment on an Automated Highway

Randolph Hall and David Lotspeich

Institute of Transportation Studies, Research Reports, Working Papers, Proceedings from Institute of Transportation Studies, UC Berkeley

Abstract: Highway automation entails the application of control, sensing and communication technologies to road vehicles, with the objective of improving highway performance. It has been envisioned that automation could increase highway capacity by a factor of three. To attain this capacity, it will be important to minimize the amount of lane-changing and optimally assign vehicles to lanes. This paper develops and applies a linear programming based lane assignment model. The highway system is modeled as a multi-commodity network, where the commodities represent trip destinations (i.e., exit ramps on highways). An unusual feature of the model is that capacities are defined by bundle constraints, which are functions of the flow entering, leaving, continuing and passing through lanes in each highway segment. The objective is to maximize total flow, subject to a fixed origiddestination pattern, expressed on a proportional basis. The model is tested for highways with up to 80 segments, 20 destinations and 5 lanes, and parametric analyses are provided with respect to the time-space requirement for lane-changes, number of lanes, number of segments and origiddestination pattern.

Keywords: Engineering; Automated Highway Systems; Lane Assignment; Link Layer (search for similar items in EconPapers)
Date: 1996-03-01
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Citations: View citations in EconPapers (3)

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