Exploiting Motor Vehicle Information and Communications Technology for Transportation Engineering

Technology already exists to capture and communicate a variety of information from motor vehicles. Automobiles are equipped with sensors and can reliably report their location, velocity, and condition via cellular telecommunications. Truck location tracking with global positioning systems is common, and prototype systems exist for characterizing surrounding traffic and roadway conditions. Given these advancements, we expect that future motor vehicles will be capable of reporting a wide variety of information about their own condition and the local environment, including the condition of the infrastructure on which they travel. Many uses exist for the vehicle- and infrastructure-related information that can be transmitted from motor vehicles. For example, fleet operators can take advantage of this information for better management of their own fleet, subject to privacy agreements with their own drivers. Similarly, this information can be used for traffic control purposes to improve travel times and safety. Even though it is becoming technologically feasible to use motor vehicles to transmit a variety of information collected through sensors, social, technical, and organizational barriers exist currently that limit the availability of this information mostly to the private use of the motor vehicle and drivers. In this paper, we describe our vision of how motor vehicle information and communications technology can be exploited for transportation engineering. We also discuss the social, technical, and organizational barriers that need to be overcome to achieve this vision.

[1]  D R Fletcher GEOGRAPHIC INFORMATION SYSTEMS FOR TRANSPORTATION: A LOOK FORWARD , 2000 .

[2]  Raymond K. Cheung,et al.  Dynamic Routing for Priority Shipments in LTL Service Networks , 2000, Transp. Sci..

[3]  Gerald G. Brown,et al.  Real-Time, Wide Area Dispatch of Mobil Tank Trucks , 1987 .

[4]  Mark R. McCord,et al.  Evaluating Real-Time Bus Arrival Information Systems , 2000 .

[5]  John Hinch,et al.  Recording automotive crash event data , 1999 .

[6]  Douglass B. Lee Benefit-Cost Evaluation of Traveler Information: Seattle’s Washington State Department of Transportation Website , 2000 .

[7]  Michel Gendreau,et al.  Diversion Issues in Real-Time Vehicle Dispatching , 2000, Transp. Sci..

[8]  Steven I-Jy Chien,et al.  Determining the Number of Probe Vehicles for Freeway Travel Time Estimation by Microscopic Simulation , 2000 .

[9]  Alice M. Rivlin,et al.  Projecting the economic impact of the Internet , 2001 .

[10]  Yoshitsugu Hayashi,et al.  DEVELOPING AN ANALYSIS SYSTEM FOR ROAD INFRASTRUCTURE DETERIORATION AND ITS EFFECT ON REGIONAL ECONOMY , 1995 .

[11]  T F Humphrey,et al.  DEVELOPING AN INFORMATION TECHNOLOGY-ORIENTED BASIC RESEARCH PROGRAM FOR SURFACE TRANSPORTATION SYSTEMS , 2001 .

[12]  Shad M. Sargand,et al.  EFFECTS OF SUDDEN PRESTRESS FORCE TRANSFER IN PRETENSIONED CONCRETE BEAMS , 2001 .

[13]  Kenneth Button,et al.  Intelligent transport systems in commercial fleet management: a study of short term economic benefits , 2001 .

[14]  Laurence R. Rilett,et al.  Using Intelligent Transportation Systems Travel-Time Data for Multimodal Analyses and System Monitoring , 2001 .

[15]  Zhong-Ren Peng,et al.  Breakeven Analysis for Statewide Intelligent Transportation System Project Identification and Assessment , 2001 .

[16]  Bob Cleary Satellite Communications and Fleet Management – An Integrated Approach to the Road Transport Industry , 2000, Journal of Navigation.

[17]  Amelia C. Regan,et al.  IMPACTS OF INFORMATION TECHNOLOGY ON PERSONAL TRAVEL AND COMMERCIAL VEHICLE OPERATIONS : RESEARCH CHALLENGES AND OPPORTUNITIES , 2000 .

[18]  Charles T. Jahren,et al.  Communications and Tracking for Construction Vehicles , 1997 .

[19]  Carl T. Haas,et al.  A model for automation of infrastructure maintenance using representational forms , 2000 .

[20]  K. W Ogden Privacy issues in electronic toll collection , 2001 .

[21]  Youngbin Yim,et al.  Travel Time Estimation on the San Francisco Bay Area Network Using Cellular Phones as Probes , 2000 .

[22]  William T. Scherer,et al.  Markovian Models for Bridge Maintenance Management , 1994 .