Logical and physical simulation of heavy vehicle automation: a case study of the Lincoln Tunnel

Laurence Audenaerd

doi:10.1117/12.300858

27 January 1998 Logical and physical simulation of heavy vehicle automation: a case study of the Lincoln Tunnel

Laurence Audenaerd

Proceedings Volume 3207, Intelligent Transportation Systems; (1998) https://doi.org/10.1117/12.300858
Event: Intelligent Systems and Advanced Manufacturing, 1997, Pittsburgh, PA, United States

Abstract

Rising with the expansion of today's transportation systems are needs for new techniques to handle the increasing demand load. This includes the development of Intelligent Transportation Systems (ITS) to incorporate modern technology into creating flexible transportation systems which react more efficiently to traffic problems. A particular focus is the creation of an Automated Highway System (AHS) to combine advanced sensing and communication technologies to create highly efficient computer-controlled traffic flow. At present, many complex dimensions of automated highway development remain difficult to mange. To develop an evolutionary step toward an automated highway, increasing traffic flow in a highly controlled environment is essential. The Lincoln Tunnel, a Hudson River crossing between New York City and New Jersey, represents a major artery to thousands of commuters living in New Jersey. The Port Authority of New York and New Jersey, the governing authority of the Lincoln Tunnel, has dedicated certain priority lanes for bus traffic to streamline traffic flow and create a reward process for mass transit commuters. It is possible to increase flow efficiency using existing technology to control vehicle motion through this corridor. This paper provides a description of physical simulation testing the feasibility of automating lanes for bus flow on this roadway.

Citation Download Citation

Laurence Audenaerd "Logical and physical simulation of heavy vehicle automation: a case study of the Lincoln Tunnel", Proc. SPIE 3207, Intelligent Transportation Systems, (27 January 1998); https://doi.org/10.1117/12.300858

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KEYWORDS

Intelligence systems

Arteries

Computing systems

Information technology

Motion controllers

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