Intelligent Transportation System applications in Kaohsiung City - Revision history

Pinfold at 23:42, January 24, 2023

2023-01-24T23:42:41Z

← Older revision		Revision as of 23:42, January 24, 2023
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	# The pilot run of application of telecom big data analysis for traffic planning and the traffic prediction algorithm apply in highway environment, and		# The pilot run of application of telecom big data analysis for traffic planning and the traffic prediction algorithm apply in highway environment, and
	# The vehicle collision prevention system of the dangerous intersection.		# The vehicle collision prevention system of the dangerous intersection.
			\|chapter=Intelligent Transportation
	\|supercluster=Transportation		\|supercluster=Transportation
	\|year=2017		\|year=2017

Pinfold at 03:06, March 25, 2022

2022-03-25T03:06:39Z

← Older revision		Revision as of 03:06, March 25, 2022
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	\|leader=Ching-Fu Chen		\|leader=Ching-Fu Chen
	\|imagecaption=Kaohsiung Rapid Transit		\|imagecaption=Kaohsiung Rapid Transit
	\|municipalities=Kaohsiung ~~City~~ Taiwan		\|municipalities=Kaohsiung Taiwan
	\|status=Ready for Public Announcement		\|status=Ready for Public Announcement
	\|description=Create an intelligent traffic monitoring system connected to real-time Traffic Information System to reduce traffic congestion and raise the road safety in the city. Including telecom big data analysis for plan of traffic improvement strategy, congestion prediction and alert, intelligent parking guidance and Cooperative Vehicle-Infrastructure System for intersection safety.		\|description=Create an intelligent traffic monitoring system connected to real-time Traffic Information System to reduce traffic congestion and raise the road safety in the city. Including telecom big data analysis for plan of traffic improvement strategy, congestion prediction and alert, intelligent parking guidance and Cooperative Vehicle-Infrastructure System for intersection safety.
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	* The procedure of system setup for the intersection safety is standardized including site survey, road side unit installation, system parameters configuration. Thus it is easily replicated to the other intersections.		* The procedure of system setup for the intersection safety is standardized including site survey, road side unit installation, system parameters configuration. Thus it is easily replicated to the other intersections.
	* A tangible benefits of traffic management system is essential and will be continuously supported by government.		* A tangible benefits of traffic management system is essential and will be continuously supported by government.
			\|cybersecurity=TBD
	\|impacts=* Reduction of traffic congestion.		\|impacts=* Reduction of traffic congestion.
	* Improving driving environment for road user.		* Improving driving environment for road user.

Pinfold at 03:03, March 25, 2022

2022-03-25T03:03:25Z

← Older revision		Revision as of 03:03, March 25, 2022
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	{{ActionCluster		{{ActionCluster
			\|image=Kaohsiung MRT Red Line Train.jpg
	\| ~~title~~ = ~~The Intelligent Transportation System applications in~~ Kaohsiung ~~City~~		\|team=Chunghwa Telecom, International Integrated Systems, THI Consultants, Sunsky International, SOCHAMP Tech
			\|leader=Ching-Fu Chen
	\| team = Chunghwa Telecom, International Integrated Systems, THI Consultants, Sunsky International, SOCHAMP Tech		\|imagecaption=Kaohsiung Rapid Transit
			\|municipalities=Kaohsiung City Taiwan
	\| leader = Ching-Fu Chen		\|status=Ready for Public Announcement
	~~\| email = cfchen99@mail.ncku.edu.tw~~		\|description=Create an intelligent traffic monitoring system connected to real-time Traffic Information System to reduce traffic congestion and raise the road safety in the city. Including telecom big data analysis for plan of traffic improvement strategy, congestion prediction and alert, intelligent parking guidance and Cooperative Vehicle-Infrastructure System for intersection safety.
	~~\| image = Kaohsiung_MRT_Red_Line_Train.jpg~~		\|challenges=* Predict the future traffic status and apply relief plan before congestion occur is critical.
	\| imagecaption = Kaohsiung Rapid Transit
	\| municipalities = Kaohsiung City Taiwan
	\| status = Ready for Public Announcement
	~~\| website =~~
	~~\| download =~~

	\| description =
	Create an intelligent traffic monitoring system connected to real-time Traffic Information System to reduce traffic congestion and raise the road safety in the city. Including telecom big data analysis for plan of traffic improvement strategy, congestion prediction and alert, intelligent parking guidance and Cooperative Vehicle-Infrastructure System for intersection safety.

	\| challenges =
	* Predict the future traffic status and apply relief plan before congestion occur is critical.
	* Monitor the status of vehicles approaching intersection then give warning information can reduce collision events		* Monitor the status of vehicles approaching intersection then give warning information can reduce collision events
			\|solutions=* This project will adopt cellular-based vehicle probe (CVP) to realize the OD behavior, machine learning algorithm to predict future traffic, microwave sensing technique to monitor and prevent road intersection accident.
			\|requirements=* Develop and assemble project team
	\| solutions =
	* This project will adopt cellular-based vehicle probe (CVP) to realize the OD behavior, machine learning algorithm to predict future traffic, microwave sensing technique to monitor and prevent road intersection accident.


	\| requirements =
	* Develop and assemble project team
	* Create scope and requirements, project plan		* Create scope and requirements, project plan
	* Gain stakeholder and government support.		* Gain stakeholder and government support.
Line 37:		Line 20:
	# System integration and testing		# System integration and testing
	* Run and measurement of the system performance and the defined KPIs		* Run and measurement of the system performance and the defined KPIs
			\|kpi=* The error between predict estimation and real travel time is less than 5%
	\| kpi =
	* The error between predict estimation and real travel time is less than 5%
	* Average travel time reduction for target area is less than 10%		* Average travel time reduction for target area is less than 10%
			\|measurement=* Measurement of estimate travel time, compared to real travel time will use the RFID (eTag) detection method.

	\| measurement =
	* Measurement of estimate travel time, compared to real travel time will use the RFID (eTag) detection method.
	* Measurement of the average travel time for specific route, compare the before and after will use the cellular-based vehicle probe technology.		* Measurement of the average travel time for specific route, compare the before and after will use the cellular-based vehicle probe technology.
			\|standards=* For road intersection safety, the system requires interoperable road side units including microwave vehicle sensors, traffic signal controller, and alarm message display panel.
	\| standards =
	* For road intersection safety, the system requires interoperable road side units including microwave vehicle sensors, traffic signal controller, and alarm message display panel.
	* For future traffic prediction, a standardized process is required for defining response plan for predictive road congestion		* For future traffic prediction, a standardized process is required for defining response plan for predictive road congestion
	* The procedure of system setup for the intersection safety is standardized including site survey, road side unit installation, system parameters configuration. Thus it is easily replicated to the other intersections.		* The procedure of system setup for the intersection safety is standardized including site survey, road side unit installation, system parameters configuration. Thus it is easily replicated to the other intersections.
	* A tangible benefits of traffic management system is essential and will be continuously supported by government.		* A tangible benefits of traffic management system is essential and will be continuously supported by government.
			\|impacts=* Reduction of traffic congestion.

	~~\| cybersecurity =~~

	\| impacts =
	* Reduction of traffic congestion.
	* Improving driving environment for road user.		* Improving driving environment for road user.
			\|demonstration=The demonstration of intelligent traffic monitoring system in Kaohsiung City, including :
	\| demonstration =
	The demonstration of intelligent traffic monitoring system in Kaohsiung City, including :
	# The pilot run of application of telecom big data analysis for traffic planning and the traffic prediction algorithm apply in highway environment, and		# The pilot run of application of telecom big data analysis for traffic planning and the traffic prediction algorithm apply in highway environment, and
	# The vehicle collision prevention system of the dangerous intersection.		# The vehicle collision prevention system of the dangerous intersection.
			\|supercluster=Transportation
			\|year=2017
	\| supercluster = Transportation		\|title=The Intelligent Transportation System applications in Kaohsiung City
	\| year = 2017		\|email=cfchen99@mail.ncku.edu.tw

	}}		}}

Pinfold at 06:36, January 11, 2022

2022-01-11T06:36:24Z

← Older revision		Revision as of 06:36, January 11, 2022
Line 3:		Line 3:
	\| title = The Intelligent Transportation System applications in Kaohsiung City		\| title = The Intelligent Transportation System applications in Kaohsiung City

	\| team = Chunghwa Telecom ~~Co. Ltd~~, International Integrated Systems~~, Inc. (IISI)~~, THI Consultants ~~lnc.~~, Sunsky International~~. Ltd~~, SOCHAMP Tech ~~Co. Ltd~~		\| team = Chunghwa Telecom, International Integrated Systems, THI Consultants, Sunsky International, SOCHAMP Tech

	\| leader = Ching-Fu Chen		\| leader = Ching-Fu Chen
Line 9:		Line 9:
	\| image = Kaohsiung_MRT_Red_Line_Train.jpg		\| image = Kaohsiung_MRT_Red_Line_Train.jpg
	\| imagecaption = Kaohsiung Rapid Transit		\| imagecaption = Kaohsiung Rapid Transit
	\| municipalities = Kaohsiung City, Taiwan		\| municipalities = Kaohsiung City Taiwan
	\| status = Ready for Public Announcement		\| status = Ready for Public Announcement
	\| website =		\| website =

Pinfold at 05:46, November 11, 2021

2021-11-11T05:46:51Z

← Older revision		Revision as of 05:46, November 11, 2021
Line 7:		Line 7:
	\| leader = Ching-Fu Chen		\| leader = Ching-Fu Chen
	\| email = cfchen99@mail.ncku.edu.tw		\| email = cfchen99@mail.ncku.edu.tw
	\| image =		\| image = Kaohsiung_MRT_Red_Line_Train.jpg
	\| imagecaption =		\| imagecaption = Kaohsiung Rapid Transit
	\| municipalities = Kaohsiung City, Taiwan		\| municipalities = Kaohsiung City, Taiwan
	\| status = Ready for Public Announcement		\| status = Ready for Public Announcement

Pinfold: 1 revision imported

2021-10-31T20:44:56Z

1 revision imported

← Older revision	Revision as of 20:44, October 31, 2021
(No difference)

en>Ocadmin at 05:25, March 23, 2020

2020-03-23T05:25:23Z

New page

{{ActionCluster

| title = The Intelligent Transportation System applications in Kaohsiung City

| team = Chunghwa Telecom Co. Ltd, International Integrated Systems, Inc. (IISI), THI Consultants lnc., Sunsky International. Ltd, SOCHAMP Tech Co. Ltd

| leader = Ching-Fu Chen
| email = cfchen99@mail.ncku.edu.tw
| image =
| imagecaption =
| municipalities = Kaohsiung City, Taiwan
| status = Ready for Public Announcement
| website =
| download =

| description =
Create an intelligent traffic monitoring system connected to real-time Traffic Information System to reduce traffic congestion and raise the road safety in the city. Including telecom big data analysis for plan of traffic improvement strategy, congestion prediction and alert, intelligent parking guidance and Cooperative Vehicle-Infrastructure System for intersection safety.

| challenges =
* Predict the future traffic status and apply relief plan before congestion occur is critical.
* Monitor the status of vehicles approaching intersection then give warning information can reduce collision events

| solutions =
* This project will adopt cellular-based vehicle probe (CVP) to realize the OD behavior, machine learning algorithm to predict future traffic, microwave sensing technique to monitor and prevent road intersection accident.

| requirements =
* Develop and assemble project team
* Create scope and requirements, project plan
* Gain stakeholder and government support.
* Create application development team
* Develop system
# Analyze and develop system architecture
# History data collection, data analysis, prediction modeling
# Road side units setup and testing
# System integration and testing
* Run and measurement of the system performance and the defined KPIs

| kpi =
* The error between predict estimation and real travel time is less than 5%
* Average travel time reduction for target area is less than 10%

| measurement =
* Measurement of estimate travel time, compared to real travel time will use the RFID (eTag) detection method.
* Measurement of the average travel time for specific route, compare the before and after will use the cellular-based vehicle probe technology.

| standards =
* For road intersection safety, the system requires interoperable road side units including microwave vehicle sensors, traffic signal controller, and alarm message display panel.
* For future traffic prediction, a standardized process is required for defining response plan for predictive road congestion
* The procedure of system setup for the intersection safety is standardized including site survey, road side unit installation, system parameters configuration. Thus it is easily replicated to the other intersections.
* A tangible benefits of traffic management system is essential and will be continuously supported by government.

| cybersecurity =

| impacts =
* Reduction of traffic congestion.
* Improving driving environment for road user.

| demonstration =
The demonstration of intelligent traffic monitoring system in Kaohsiung City, including :
# The pilot run of application of telecom big data analysis for traffic planning and the traffic prediction algorithm apply in highway environment, and
# The vehicle collision prevention system of the dangerous intersection.

| supercluster = Transportation
| year = 2017

}}