A passenger-based adaptive traffic signal control mechanism in Intelligent Transportation Systems

Chou, Li-Der; Deng, Bo-Teng; Li, David Chunhu; Kuo, Kai-Wei

doi:10.1109/itst.2012.6425208

2012 12th International Conference on ITS Telecommunications 2012

DOI: 10.1109/itst.2012.6425208

|View full text |Cite

A passenger-based adaptive traffic signal control mechanism in Intelligent Transportation Systems

Li-Der Chou

Bo-Teng Deng

David Chunhu Li

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

2023

Publication Types

Select...

Article3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Tunnel bottleneck management with high-occupancy vehicle priority on intelligent freeways

Gao

Zeng²,

Wang³

et al. 2023

Transportation Safety and Environment

View full text Add to dashboard Cite

Tunnels on freeways, as one of the critical bottlenecks, frequently cause severe congestion and passenger delay. To solve the tunnel bottleneck problem, most of the existing research can be divided into two types. One is to adopt Variable Speed Limits (VSL) to regulate a predetermined speed for vehicles to get through a bottleneck smoothly. The other is to adopt High-Occupancy Vehicle (HOV) lane management. In HOV lane management strategies, all traffic is divided into HOVs and Low-occupancy Vehicles (LOV). HOVs are vehicles with a driver and one or more passengers. LOVs are vehicles just with a driver. This kind of research can grant priority to HOVs by providing a dedicated HOV lane. However, the existing research cannot both mitigate congestion and maximize passenger-oriented benefits. To address the research gap, this paper leverages Connected and Automated Vehicle (CAV) technologies on intelligent freeways and develops a tunnel bottleneck management strategy with a Dynamic HOV Lane (DHL). The strategy bears the following features: 1) enable tunnel bottleneck management at a microscopic level; 2) maximize passenger-oriented benefits; 3) grant priority to HOVs even when the HOV lane is open to LOVs; 4) allocate right-of-way segments for HOVs and LOVs in real time; 5) perform well in a mixed traffic environment. The proposed strategy is evaluated through comparison against the non-control baseline and a VSL strategy. Sensitivity analysis is conducted under different congestion levels and penetration rates. The results demonstrate that the proposed strategy outperforms in terms of passenger-oriented delay reduction and HOVs'priority level improvement.

show abstract

Tunnel bottleneck management with high-occupancy vehicle priority on intelligent freeways

Gao

Zeng²,

Wang³

et al. 2023

Transportation Safety and Environment

View full text Add to dashboard Cite

show abstract

Evaluation of Traffic Signal Systems Effectiveness in Connected Vehicle Environments Using Trajectory Analytics

Ostojic

Mahmassani

2021

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

One of the ways to design more effective signal control strategies is to leverage and synthesize connected vehicle generated (CVG) information to identify traffic states for the controller to operate in a predictive, yet vehicle-actuated manner. The contribution of this paper is twofold: (1) it presents a framework for an advanced, online, signal control logic in a connected environment that utilizes information from connected vehicles (CVs) to augment high-resolution controller and/or sensor data, and (2) it applies the trajectory analytics to compare the performance of the new controller schemes with CVG data and functionalities relative to conventional, vehicle-actuated, control. The framework puts forward a predictive control logic that schedules phases in an acyclic manner over a variable planning horizon. Phase duration is continually evaluated in response to updated requests for service distributed among equipped vehicles and associated performance indicators. Within the same connected control setup, two measures of effectiveness of a decision were compared to determine the upper bound on the potential effectiveness of a more responsive control strategy. Finally, trajectory analytics was used to evaluate the effectiveness of the CV technology-based control scheme against the conventional one. The findings indicate that both control system performance assessment and optimization objectives should change with access to CVG data. Unlike current state of the practice controllers, the developed method is able to handle high and low demand states equally well. The designed connected controller is shown to be robust in handling varying traffic conditions and demand levels.

show abstract

Adaptive signal control and coordination for urban traffic control in a connected vehicle environment: A review

Li,

Peng,

Hou

et al. 2023

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A passenger-based adaptive traffic signal control mechanism in Intelligent Transportation Systems

Cited by 3 publications

References 8 publications

Tunnel bottleneck management with high-occupancy vehicle priority on intelligent freeways

Tunnel bottleneck management with high-occupancy vehicle priority on intelligent freeways

Evaluation of Traffic Signal Systems Effectiveness in Connected Vehicle Environments Using Trajectory Analytics

Adaptive signal control and coordination for urban traffic control in a connected vehicle environment: A review

Contact Info

Product

Resources

About