Personal Mobility

Presentation

Project Objectives

- Improve customers satisfaction on bus operations

-  Monitor and track bus performance

- Improve bus schedule adherence

-  Maintain even headways between buses

- Assist bus operations planning

- Remote system management

Kang Hu, P.E.

Chun K.Wong, P.E.

Presented at the ITS America Annual Conference and Exposition, April 29 –May 2, 2002 Long Beach, California

Presentation

Project Goals

• Reduce Ingress/Egress Congestion
• Demonstrate Benefits of ITS
  • To Agency Staff, Media + Public
• Provide Training of ITS Strategies, Tools + Techniques to Operations Staff
• Develop ITS Template for Future Events

Hudson Valley TMC

Presented at the ITS America Annual Conference and Exposition, April 29 –May 2, 2002 Long Beach, California

This study evaluated two advanced integrated systems with navigation, communication, and entertainment capabilities in a driving simulator. One system was a Johnson Controls prototype with a joystick-type control and Hotkeys to input information; the other was a production system with a touchscreen display for the navigation and entertainment functions and a voice-operated system for the communication function. Eighteen participants used both systems while driving in the center lane of a three-lane highway with no traffic and no curves, and also participated in a baseline driving session. Dependent measures of interest included driving performance (lane position, steering angle, and speed) and task completion time. Subjective workload ratings also were obtained using the NASA-TLX. The results suggest that type of task and type of system affect task completion time and driving performance. The prototype system showed superior results in shorter task completion times for the destination entry tasks, and overall better driving performance and subjective ratings, than did the production system. Driving performance, however, was better when driving without performing any other tasks than when performing tasks. Future research is recommended to compare driving performance when using advanced in-vehicle systems and traditional systems.

Johnson Controls, Inc.

Presented at the ITS America Annual Conference and Exposition, April 29 –May 2, 2002 Long Beach, California

The purpose of this paper is to provide an overview of the types of information transit agencies can share as part of an integrated regional ITS solution and discuss technical keys to successful participation by transit agencies in a regional ITS solution.

Integration of intelligent transportation systems is still largely defined and implemented on a region-by-region basis. While much good work has been done to define a national ITS architecture and associated standards, ultimately the work of a region’s planners and agencies leads to a successful implementation of integrated intelligent transportation systems that will result in increased mobility, safety, and security for the people using a region’s transportation network. It takes a shared regional vision to implement a successful integrated regional ITS solution. Once a shared vision has been established and embraced, then a thorough understanding of the current state of ITS standards, technologies, and architectures is needed to make the vision a reality. This paper discusses the importance of a shared vision in the successful realization of an integrated ITS solution. It then turns it focus to transit’s role in an integrated ITS solution discussing the types of information a transit agency produces that is off value to a regional ITS solution and the types of information from other regional entities which a transit agency may wish to be a consumer. The author then addresses the issues of ITS standards, technologies, and architectures as they relate to transit. The paper concludes with a summary of keys to a successful regional ITS solution.

Siemens Transportation Systems, Inc.

Presented at the ITS America Annual Conference and Exposition, April 26 - 28, 2004 San Antonio, Texas

Users of real-time traffic information want to know how long their trips are going to take in order to choose between alternate routes or modes, determine when to leave, or adjust their schedules if necessary. This has spurred interest among traffic managers to estimate point-to-point travel times as part of Advanced Traveler Information Systems (ATIS). Of course, it is impossible to always predict point-to-point travel times with perfect accuracy. There are numerous sources of potential error including the reliability of sensors, the calculation of travel time from sensor measurements, and the inability to accurately forecast how conditions will change over the course of a pending trip.

In this paper we underscore the importance of measuring the accuracy of ATIS travel time estimates, discuss the pros and cons of different data collection techniques and provide cost estimates for sufficient studies. This may be as simple as driving a moderately-equipped probe vehicle to measure “ground truth” travel times. Probe vehicle techniques are the best approach to assess the accuracy of an ATIS that covers a number of segments in a metropolitan network. We estimate that 100 probe vehicle runs would comprise a sufficient study for an average sized metropolitan area. Collecting this much data would cost approximately $21,000.

Day-to-day travel time variability is a key indicator for how accurate ATIS travel time estimates need to be. An error of 20% is a suitable initial target, though this value may vary significantly by metropolitan area. Under ideal circumstances, one could calculate network-wide variability using archived ATIS travel time estimates. However, if these estimates are shown to be inaccurate based on the ground truth data obtained from the probe vehicle study, this would lead to an inaccurate estimate of variability. Therefore, if travel time estimation error is 20% or worse, additional field data using license plate matching techniques should be taken for the purpose of accurately characterizing day-to- day variability. For a single study, we estimate this would cost approximately $48,000.

Mitretek Systems, Inc.

Presented at the ITS America Annual Conference and Exposition, April 26 - 28, 2004 San Antonio, Texas