Intelligent transport systems — Definition of data elements and data frames between roadside modules and signal controllers for cooperative signal control

This document specifies data elements and data frames for messages a) exchanged between roadside modules and: 1) signal controllers, 2) traffic management centres, and/or 3) other roadside modules. b) exchanged between traffic management centres and signal controllers. NOTE Roadside modules can generate data based on inputs from vehicle detectors and/or probe data transmitted by vehicles. This document does not address how the roadside module generates the data; it only addresses communication after receiving and processing raw data from one or more sources. EXAMPLE A roadside module can calculate vehicle volume, average speed, and queue length by utilizing data from vehicle detectors and probe information. The data structure follows the framework specified in ISO 14817-1, and the data elements and data frames are described by description name, object identifier, definition, and data type following ISO 14817-1. The specifications of this document complement those from ISO/TS 19091 and other standards. The roadside modules can be constructed in any manner using any architecture including the ITS station as described in ISO 21217, or other hardware and software constructs.

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Status
Published
Publication Date
23-Jan-2020
Current Stage
9020 - International Standard under periodical review
Start Date
15-Jan-2023
Completion Date
15-Jan-2023
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ISO/TS 19082:2020 - Intelligent transport systems -- Definition of data elements and data frames between roadside modules and signal controllers for cooperative signal control
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TECHNICAL ISO/TS
SPECIFICATION 19082
First edition
2020-01
Intelligent transport systems —
Definition of data elements and data
frames between roadside modules
and signal controllers for cooperative
signal control
Reference number
ISO/TS 19082:2020(E)
ISO 2020
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ISO/TS 19082:2020(E)
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© ISO 2020

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ii © ISO 2020 – All rights reserved
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ISO/TS 19082:2020(E)
Contents Page

Foreword ........................................................................................................................................................................................................................................iv

Introduction ..................................................................................................................................................................................................................................v

1 Scope ................................................................................................................................................................................................................................. 1

2 Normative references ...................................................................................................................................................................................... 1

3 Terms and definitions ..................................................................................................................................................................................... 1

4 Symbols and abbreviated terms ........................................................................................................................................................... 3

5 Conformance ............................................................................................................................................................................................................. 3

6 Use cases ....................................................................................................................................................................................................................... 3

6.1 General ........................................................................................................................................................................................................... 3

6.2 Macroscopic signal control systems ..................................................................................................................................... 3

6.3 Micro signal control systems ...................................................................................................................................................... 4

6.4 Data frames for the use cases ..................................................................................................................................................... 6

7 Data elements and frames .......................................................................................................................................................................... 7

7.1 General ........................................................................................................................................................................................................... 7

7.2 Data elements .......................................................................................................................................................................................... 7

7.3 Data frames for processsed and statistical data ......................................................................................................12

Annex A (informative) Relationship with existing standards .................................................................................................19

Bibliography .............................................................................................................................................................................................................................21

© ISO 2020 – All rights reserved iii
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ISO/TS 19082:2020(E)
Foreword

ISO (the International Organization for Standardization) is a worldwide federation of national standards

bodies (ISO member bodies). The work of preparing International Standards is normally carried out

through ISO technical committees. Each member body interested in a subject for which a technical

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ISO collaborates closely with the International Electrotechnical Commission (IEC) on all matters of

electrotechnical standardization.

The procedures used to develop this document and those intended for its further maintenance are

described in the ISO/IEC Directives, Part 1. In particular, the different approval criteria needed for the

different types of ISO documents should be noted. This document was drafted in accordance with the

editorial rules of the ISO/IEC Directives, Part 2 (see www .iso .org/ directives).

Attention is drawn to the possibility that some of the elements of this document may be the subject of

patent rights. ISO shall not be held responsible for identifying any or all such patent rights. Details of

any patent rights identified during the development of the document will be in the Introduction and/or

on the ISO list of patent declarations received (see www .iso .org/ patents).

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expressions related to conformity assessment, as well as information about ISO's adherence to the

World Trade Organization (WTO) principles in the Technical Barriers to Trade (TBT) see www .iso .org/

iso/ foreword .html.

This document was prepared by Technical Committee ISO/TC 204, Intelligent transport systems.

Any feedback or questions on this document should be directed to the user’s national standards body. A

complete listing of these bodies can be found at www .iso .org/ members .html.
iv © ISO 2020 – All rights reserved
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ISO/TS 19082:2020(E)
Introduction

Signal controllers and traffic control centres optimize signal timings based on real-time traffic

information for each approach. For example, signal controllers may extend the green time for an

approach with a long queue.

The aim of this document is to define data elements and data frames that are useful for optimising local

and coordinated signal operations.

ISO 22951 (PRESTO) specifies the message sets for signal system pre-emption and priority for transit

vehicles including communications between roadside modules and signal controllers. This document

complements PRESTO by defining message sets for traffic information that is useful for optimizing

normal signal operations. Thus, signal controllers and traffic management centres can generate signal

timings referring to the messages of PRESTO and this document.

The red arrows in Figure 1 illustrate message flows that are within scope of this document.

Figure 1 — Physical scope of this document
© ISO 2020 – All rights reserved v
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TECHNICAL SPECIFICATION ISO/TS 19082:2020(E)
Intelligent transport systems — Definition of data
elements and data frames between roadside modules and
signal controllers for cooperative signal control
1 Scope
This document specifies data elements and data frames for messages
a) exchanged between roadside modules and:
1) signal controllers,
2) traffic management centres, and/or
3) other roadside modules.
b) exchanged between traffic management centres and signal controllers.

NOTE Roadside modules can generate data based on inputs from vehicle detectors and/or probe data

transmitted by vehicles. This document does not address how the roadside module generates the data; it only

addresses communication after receiving and processing raw data from one or more sources.

EXAMPLE A roadside module can calculate vehicle volume, average speed, and queue length by utilizing

data from vehicle detectors and probe information.

The data structure follows the framework specified in ISO 14817-1, and the data elements and data

frames are described by description name, object identifier, definition, and data type following

ISO 14817-1. The specifications of this document complement those from ISO/TS 19091 and other

standards.

The roadside modules can be constructed in any manner using any architecture including the ITS

station as described in ISO 21217, or other hardware and software constructs.
2 Normative references

The following documents are referred to in the text in such a way that some or all of their content

constitutes requirements of this document. For dated references, only the edition cited applies. For

undated references, the latest edition of the referenced document (including any amendments) applies.

ISO 14817-1, Intelligent transport systems — ITS central data dictionaries — Part 1: Requirements for ITS

data definitions
3 Terms and definitions

For the purposes of this document, the terms and definitions given in ISO 14817-1 and the following apply.

ISO and IEC maintain terminological databases for use in standardization at the following addresses:

— ISO Online browsing platform: available at https:// www .iso .org/ obp
— IEC Electropedia: available at http:// www .electropedia .org/
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ISO/TS 19082:2020(E)
3.1
adaptive signal control

signal control concept where vehicular traffic in a network is detected at one or more points upstream

and/or downstream and algorithmically combined with other information to predictively optimize

traffic signal operations
3.2
conflicting turn
turn manoeuvre that conflicts with another manoeuvre at an intersection
3.3
cooperative signal control

signal control utilizing not only vehicle detector data but also V2I communication data

3.4
dilemma zone

area upstream of a traffic signal in which different drivers are likely to make different decisions on

whether they should continue through or stop at the signal as they see the signal indication change

from green to yellow

Note 1 to entry: There are two types of dilemma zones. Type I occurs when yellow and red clearance times are too

short for a driver to either stop or clear the intersection before the beginning of a conflicting phase. Type II, also

known as an “Option Zone”, or “Indecision Zone”. This occurs as the result of different drivers making different

decision on whether to go or stop, upon the change from a green to yellow indication.

3.5
flow rate

equivalent hourly rate at which vehicles, bicycles, or persons pass a point on a lane, roadway, or other

trafficway, computed as the number of vehicles, bicycles, or persons passing the point, divided by the

time interval (usually less than 1 h) in which they pass
Note 1 to entry: It is expressed as vehicles, bicycles, or persons per hour.
3.6
phase

signal controller timing unit associated with the control of one or more movements

3.7
probe data

vehicle sensor information, formatted as probe data elements and/or probe messages, that is processed,

formatted, and transmitted to a roadside module to create a good understanding of the driving

environment
3.8
queue

line of vehicles, bicycles, or persons waiting to be served by the system in which the flow rate from the

front of the queue determines the average speed within the queue

Note 1 to entry: Slowly moving vehicles or people joining the rear of the queue are usually considered part of

the queue. The internal queue dynamics can involve starts and stops. A faster-moving line of vehicles is often

referred to as a moving queue or a platoon.
3.9
roadside module

group of components, or applications, installed at the roadside that can be controlled and/or monitored

by a remote entity
3.10
signal controller

roadside module that manages the right-of-way at an intersection, typically by displaying green, yellow,

and red indications to the intersection’s various approach lanes
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ISO/TS 19082:2020(E)
4 Symbols and abbreviated terms

PRESTO Data Dictionary and Message Sets for Pre-emption and Prioritization Signal System for

Emergency and Public Transport Vehicles
5 Conformance

In order to claim conformance with this document, the structure of data elements and the data frames

between roadside modules and signal controllers shall follow the data types described in Clause 7.

6 Use cases
6.1 General

This Clause describes several usage examples where data defined within this document can be used.

6.2 Macroscopic signal control systems

Many adaptive signal control systems perform macroscopic control functions on a central computer,

which determines the signal parameters such as cycle length, split and offset based on congestion

information. These systems aim to reduce delays and stops by improving the timing efficiency of green

indications at critical intersections and maximizing traffic capacity.

Conventionally, volumes and occupancy from vehicle detectors have been used for the input of these

systems; the introduction of connected vehicles now allow probe data to be used for this purpose

(Figure 2). Probe data can be received over short range communication technologies and processed by

roadside modules; the processed data can then be transferred to traffic control centres. Probe data can

also be collected via wide area communication. In this case, the central computers process the collected

raw probe data and calculate signal parameters by combining processed probe data transferred from

roadside modules (but care must be taken not to duplicate data in this process).

The central computer calculates optimal signal parameters and transmits them to signal controllers

every a few minutes. Sometimes micro control functions described in 6.2 is combined with macro

control functions by signal controllers.
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ISO/TS 19082:2020(E)
Figure 2 — Macroscopic signal control system
An example flow of macroscopic signal control systems is shown below:

a) Roadside modules with detectors gather raw data of the presence and position of vehicles.

b) Vehicles equipped with in-vehicle units transfer probe data to roadside modules.

c) The roadside modules calculate some characteristic data of intersections, e.g. flow rate, average

speed, divergence rate, and vehicle type ratio by utilizing data from vehicle detectors and probe data.

d) The roadside modules transfer the calculated data to the traffic management centre.

e) The traffic management centre calculates the optimum parameters for intersections, e.g. splits,

cycles, and offsets and transfers them to the signal controllers.
Another example of macroscopic signal control systems is shown below:

a) The vehicle detectors gather raw data of the presence of vehicles and the positions of vehicles.

b) Vehicles which equip in-vehicle units transfer probe data to roadside modules.

c) The roadside modules assemble data of each vehicle, e.g. position, speed, stop position. The roadside

modules can generate snapshots of vehicle positions.

d) The roadside modules transfer the assembled data to the traffic management centre.

e) The traffic management centre calculates some characteristic data of each intersection, e.g. flow

rate, average speed, divergence rate and vehicle type ratio, utilizing data from roadside modules,

then calculates the optimum parameters for intersections, e.g. splits, cycles, and offsets and

transfers them to the signal controllers.
6.3 Micro signal control systems

Roadside modules are usually installed near an intersection in local control systems. Probe data is

collected via short range wireless communication (referred to as "localized communications" in ITS, see

e.g. ISO 21215, ISO 29281-1). Traffic signals with actuated conflicting turns are an example of this kind

of system. This system optimizes the left-turn phase time according to the presence and numbers of

queued vehicles. Figure 3 shows one of the examples (a left hand turn for roads that drive on the right).

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ISO/TS 19082:2020(E)
Figure 3 — Actuated conflicting turns
An example flow of left-turn control systems is shown below:

a) The vehicle detectors gather raw data of the presence of vehicles and the position of vehicles.

b) Vehicles which equip in-vehicle units transfer probe data to roadside modules.

c) The roadside modules assemble data of vehicle presence and each vehicle’s position and speed.

d) The roadside modules calculate the queue length of vehicles, and the time gap between vehicles.

e) The roadside modules transfer the processed data to the signal controller.

f) The signal controller decides the phase timing with the processed data. For example, the signal

controller extends the green phase if vehicles are present in a specified area.

Another example of micro signal control systems is the dilemma zone control system. The dilemma

zone control system minimizes the number of vehicles in the dilemma zone by adjusting the start

time of the yellow and red signal phase either earlier or later, based on observed vehicle locations and

speeds. Figure 4 shows the examples.
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ISO/TS 19082:2020(E)
Figure 4 — Dilemma zone control systems
An example flow of dilemma zone control systems is shown below:

a) The vehicle detectors gather raw data of the presence of vehicles and the position of vehicles.

b) Vehicles which equip in-vehicle units transfer probe data to roadside modules.

c) The roadside modules pick up the data of important vehicles for the dilemma zone control system.

d) The roadside modules transfer the processed data to the signal controller.

e) The signal controller decides the phase timing with the processed data. For example, the signal

controller finishes the green phase if a vehicle enters the dilemma zone.
6.4 Data frames for the use cases
In these use cases, the data frames in Table 1 shall be used.
Table 1 — Data frames for use cases
Data frames Macroscopic signal control Micro signal control
Snapshot.vehiclePositions: VehiclePositionSnapshot  
Intersection.snapshot: Measure  
verhicle.LocalPosition:M easure 
Intersection.latestStartupLostTimes: measure 
IntersectionLane.FlowRatePerLane: measure
IntersectionApproach.DivergenceRate: percent 
Intersection.VerhiclePresent: boolean 
Geolocation.VehiclePresent: boolean 
Intersection.VehicleAmount: quantity 
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ISO/TS 19082:2020(E)
Table 1 (continued)
Data frames Macroscopic signal control Micro signal control
Geolocation.VehicleAmount: q
...

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