APTS07-Multi-modal Coordination (Service Package*)

Description

This service package establishes two way communications between multiple transit and traffic agencies to improve service coordination. Multimodal coordination between transit agencies can increase traveler convenience at transit transfer points and clusters (a collection of stops, stations, or terminals where transfers can be made conveniently) and also improve operating efficiency. Transit transfer information is shared between Multimodal Transportation Service Providers and Transit Agencies.

Service Package Graphic

TMC Multimodal CoordinationTransit Center Multi-Modal CoordinationOn-board Schedule ManagementTraffic ManagementTransit ManagementMultimodal Transportation Service ProviderOther Transit ManagementParking ManagementTransit Operations PersonnelTransit VehicleEvent Promotersrequest transit informationtransit system datatransit multimodal informationmultimodal service datatransit service coordinationparking lot data requestparking informationtransit operations statustransit operations personnel inputstransit vehicle schedule performancetransit schedule informationevent confirmationevent plans

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Associated Planning Factors and Goals

Planning Factor Goal
A. Support the economic vitality of the metropolitan area, especially by enabling global competitiveness, productivity, and efficiency; Support regional economic productivity and development
D. Increase the accessibility and mobility of people and for freight; Enhance mobility, convenience, and comfort for transportation system users
E. Protect and enhance the environment, promote energy conservation, improve the quality of life, and promote consistency between transportation improvements and State and local planned growth and economic development patterns; Reduce environmental impacts
F. Enhance the integration and connectivity of the transportation system, across and between modes, for people and freight; Enhance the integration and connectivity of the transportation system
G. Promote efficient system management and operation; Increase operational efficiency and reliability of the transportation system

Associated Objective Categories

Objective Category
Integration: Connectivity
Special Event Management: Entry/Exit Travel Times
Special Event Management: Mode Shift from SOV
System Efficiency: Delay
System Efficiency: Energy Consumption
System Efficiency: Intensity of Congestion (Travel Time Index)
System Efficiency: Travel Time
System Efficiency: Trip Connectivity
System Efficiency: Vehicle Miles Traveled
System Options: Modal Options for Individuals with Disabilities
System Options: Mode Share
System Options: Transit Use
System Options: Travel Time - Transit Compared to Auto
System Reliability: Non-Recurring Delay
Transit Operations and Management: Park-and-Ride Support
Transit Operations and Management: Service Directness

Associated Objectives and Performance Measures

Objective Performance Measure
Achieve X percent alternative (non-SOV) mode share in transit station communities (or other destinations) by year Y. Percent of all trips made using alternative modes in transit station communities.
Annual rate of change in regional average commute travel time will not exceed regional rate of population growth through the year Y. Average commute trip travel time (minutes).
At least X percent of trips can be made with no more than Y transfers. Percent of trips with no more than Y transfers.
Decrease the percent of special event attendees traveling to the event in single-occupancy vehicles by X percent in Y years. Percent of special event attendees using single-occupancy vehicles each year for selected events.
Improve average transit travel time compared to auto in major corridors by X minutes per year for Y years. Transit to auto travel time differential for a given period (daily, hourly, or peak hours), on a given portion of the system (system wide, by facility type, or by corridor).
Improve average travel time during peak periods by X percent by year Y. Average travel time during peak periods (minutes).
Increase active (bicycle/pedestrian) mode share by X percent by year Y. Share of trips by each mode of travel.
Increase alternative (non-SOV) mode share for all trips by X percent within the next Y years. Share of trips by each mode of travel.
Increase average transit load factor by X percent by year Y. Number of riders on various transit units per trip at peak travel times.
Increase passenger miles traveled per capita on transit by X percent by year Y. Number of passenger miles traveled per capita.
Increase the availability of transit to individuals with disabilities by X percent by year Y. The percent of individuals with disabilities that can access transit.
Increase the percent of special event attendees using park & ride lots by X percent in Y years. Percent of special event attendees utilizing park & ride lots each year for selected events.
Increase the percent of special events with dedicated shuttle service by X percent in Y years. Percent of special events with dedicated shuttle service for selected events during a 1-year period.
Increase transit mode share by X percent by year Y during peak periods. Percent of all peak-period trips made by transit.
Increase transit mode share by X percent by year Y. Percent of all trips made by transit.
Increase traveler awareness of park-and-ride lots by X percent within Y years. Number of users aware of park-and-ride lots in their region.
Maintain a travel time differential between transit and auto during peak periods of X percent for Y years. Transit to auto travel time differential for a given period (daily, hourly, or peak hours), on a given portion of the system (system wide, by facility type, or by corridor).
Reduce average time to clear event's exiting queue by X percent in Y years. Average time to clear event's exiting queue by year per event.
Reduce average travel time into and out of the event by X percent in Y years. Average travel time away from selected special events to a set of locations over a year.
Reduce average travel time into and out of the event by X percent in Y years. Average travel time to selected special events from a set of locations in the area over a year.
Reduce buffer time index for travelers to multiple similar special events by X percent in Y years. Buffer time index for travelers to multiple similar special events.
Reduce cost of transfer fees paid by X percent by year Y. Average cost of transfers.
Reduce door-to-door trip time by X percent by year Y. Average door-to-door trip time.
Reduce excess fuel consumed due to congestion by X percent by year Y. Excess fuel consumed (total or per capita).
Reduce hours of delay per capita by X percent by year Y. Hours of delay (person-hours).
Reduce hours of delay per capita by X percent by year Y. Hours of delay per capita.
Reduce non-special event VMT in the event area during events by X percent in Y years. Non-special event VMT in the event area during events over a year.
Reduce per capita SOV commute trip rate by X percent in Y years. SOV commute trips per capita.
Reduce the regional average travel time index by X percent per year. Travel time index (the average travel time during the peak period, using congested speeds, divided by the off-peak period travel time, using posted or free-flow speeds).
Reduce the travel time differential between transit and auto during peak periods by X percent per year for Y years. Transit to auto travel time differential for a given period (daily, hourly, or peak hours), on a given portion of the system (system wide, by facility type, or by corridor).
Reduce total energy consumption per capita for transportation by X percent by year Y. Total energy consumed per capita for transportation.
Reduce total fuel consumption per capita for transportation by X percent by year Y. Total fuel consumed per capita for transportation.
Reduce total person hours of delay (or travel-time delay per capita) by time period (peak, off-peak) caused by all transient events such as traffic incidents, special events, and work zones. Total person hours of delay during scheduled and/or unscheduled disruptions to travel.
Reduce total person hours of delay (or travel-time delay per capita) by time period (peak, off-peak) caused by scheduled events, work zones, or system maintenance by x hours in y years. Travel time delay during scheduled and/or unscheduled disruptions to travel.
Reduce total person hours of delay (or travel-time delay per capita) by time period (peak, off-peak) caused by unscheduled disruptions to travel. Total person hours of delay during scheduled and/or unscheduled disruptions to travel.
Reduce vehicle miles traveled per capita by X percent by year Y. Average VMT per capita per day, per week, or per year.
Scheduled transfer times between routes should be no longer than X minutes. Scheduled transfer times between routes.


 
Since the mapping between objectives and service packages is not always straight-forward and often situation-dependent, these mappings should only be used as a starting point. Users should do their own analysis to identify the best service packages for their region.

Related ITS Applications of ITS Taxonomy

Classification Category ITS Application Area ITS Application(s)
Intelligent Infrastructure Transit Management Operations & Fleet Management Service Coordination

User Services related to this Service Package:

User Service
1.6 Traffic Control
2.1 Public Transportation Management

Transaction Set Diagram





The source graphic, a Windows Metafile (WMF), for the TSD can be downloaded here: TSD

The following discusses how the National ITS Architecture provides the transportation service described by this service package. Each numbered item describes the operation of that portion of the service package identified with the corresponding number on the transaction set diagram.

  1. The TRMS provides transit schedule information to the Multimodal Transportation Service Provider for coordination at modal interchange points (transit multimodal information). The Multimodal Transportation Service Provider (who represents the operators of non-roadway transportation systems such as airlines, ferry services, and passenger carrying heavy rail) returns multimodal transportation schedules and service information (multimodal service data).

  2. TRMS coordinates with the Parking Management Systems (PMS). The TRMS requests static or dynamic parking information (parking lot data request). In response, the PMS sends to the TRMS parking information.

  3. TRMS coordinates transit service for special events with Event Promoters. Event Promoters send event plans that are used to plan transit service adjustments for the special event and TRMS returns event confirmation acknowledging transit service support for the event.

  4. Another key coordination function is from one transit agency to another, represented in this market package by the transit service coordination flow that goes both ways between TRMS and Other Transit Management. The coordination between agencies might be on route transfer points and clusters, schedule, on-time information, incident information, and ridership.

  5. Coordination with a TMS takes the form of a request transit information flow from the TMS to the TRMS, with the response (transit system data) including current transit system operations information indicating current transit routes, the level of service on each route, and the progress of individual vehicles along their routes for use in forecasting demand and estimating current transportation network performance.

  6. The TRMS collects estimated times of arrival and anticipated schedule deviations from its fleet of transit vehicles (transit vehicle schedule performance) and returns transit schedule information to the transit vehicle to aid in corrective action.

  7. TRMS will support an interface with Transit Operations Personnel to provide transit operations status and use the transit operations personnel inputs to support the multimodal coordination functionality.