Metro transit and the Minnesota DOT cooperatively operate a BRT-like system throughout the Twin Cities, Minnesota, metropolitan area. During peak congestion periods, buses operate on specially designated road shoulders (albeit at speeds significantly lower than limits posted for the adjacent highway). This allows buses to bypass congested roadways, enabling the bus to maintain its schedule regardless of traffic conditions. One of the problems faced by drivers using the shoulders is that the shoulders are typically no more than 3.1 m wide; a 12 m long transit bus measures 2.9 m across the rear view mirrors, and 2.6 m across the rear dual wheels. These narrow lanes require that a driver maintain a lateral error of less than 0.15 m to avoid collisions. This is a difficult task under the best conditions, and degrades to nearly impossible during conditions of bad weather, low visibility, high traffic congestion, etc. Metro transit drivers are not required to use the shoulders; shoulder use is left to their discretion. When poor conditions are encountered, many drivers choose not to use the shoulder. However, these poor conditions offer the greatest benefit of the bus-only shoulder use, creating an operational paradox. To minimize the effect of poor conditions on the use of bus-only shoulders, a lane assist system has been developed by the Intelligent Vehicles Lab at the University of Minnesota to help bus drivers under these difficult conditions. The system uses carrier phase, dual frequency differential GPS, a lane-level, high density, high accuracy geospatial database, and a lateral control algorithm for lateral assistance, radar for obstacle detection (critical in low visibility), and graphical, haptic, and tactile driver interfaces to provide guidance information to a driver. In addition to the system description, performance of the system on a operational bus-only shoulder is provided.
[1]
M. Donath,et al.
Advanced range sensor processing using DGPS and a geospatial database
,
2001,
ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585).
[2]
Bernhard Wagner,et al.
Long-Range RTK Positioning Using Virtual Reference Stations
,
2000
.
[3]
Ted Morris,et al.
Preview based control of a tractor trailer using DGPS for preventing road departure accidents
,
1997,
Proceedings of Conference on Intelligent Transportation Systems.
[4]
Max Donath,et al.
A Heads Up Display based on a DGPS and Real Time Accessible Geo-Spatial Database for Low Visibility Driving
,
1999
.
[5]
Max Donath,et al.
Dynamic Evaluation of High Accuracy Differential GPS
,
2003
.
[6]
Max Donath,et al.
Driver Assistive Systems for Snowplows
,
2003
.
[7]
Max Donath,et al.
Evaluation of in-vehicle GPS-based lane position sensing for preventing road departure
,
1997,
Proceedings of Conference on Intelligent Transportation Systems.
[8]
Erwin R. Boer,et al.
BUS RAPID TRANSIT LANE ASSIST TECHNOLOGY SYSTEMS, VOLUME 2: BUS DRIVER STRESS WHILE OPERATING IN NARROW DEDICATED BUS SHOULDERS: A PILOT STUDY
,
2003
.