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Evaluation of Transit Signal Priority and Optimal Signal Timing Plans in Transit and Traffic Operations

Satyanarayana Muthuswamy, William R. McShane, Janice R. Daniel
2007 Transportation Research Record  
., Daniel, J.R. 2 ABSTRACT Transit signal priority (TSP) systems have been in place for several years.  ...  are not updated as often as needed, TSP may provide a way of adapting the base signalization, providing much of the benefit of signal plan updates; (c) side street traffic does not always suffer due to  ...  Transit Priority Control The signal control policy in effect for Broad Street is fixed time.  ... 
doi:10.3141/2034-11 fatcat:evb7xbitgzbyvh52x4xsc7k2uy

Courteous Behavior of Automated Vehicles at Unsignalized Intersections via Reinforcement Learning [article]

Shengchao Yan, Tim Welschehold, Daniel Büscher, Wolfram Burgard
2021 arXiv   pre-print
Our reinforcement learning agent learns a policy for a centralized controller to let connected autonomous vehicles at unsignalized intersections give up their right of way and yield to other vehicles to  ...  Connected and automated vehicles can benefit human-driven ones and the whole traffic system in different ways, for example by improving collision avoidance and reducing traffic waves.  ...  Vehicles on the routes with the highest priority, however, can drive freely. Note that in Fig. 2a the route E-S has intersecting routes with higher and lower priority.  ... 
arXiv:2106.06369v1 fatcat:crbvhzqiyraa7csy4wwatxkfr4

Peer-to-Peer Priority Signal Control Strategy in a Connected Vehicle Environment

Byungho Beak, Mehdi Zamanipour, K. Larry Head, Blaine Leonard
2018 Transportation Research Record  
The peer priority strategy is effective in reducing the number of stops and delay for priority eligible vehicles, while minimizing the negative impact on regular vehicles.  ...  Through the integrated communication, the peer priority control strategy can create a signal plan for prioritized vehicles that considers longer term (headway) arrival times.  ...  ACKNOWLEDGEMENTS This work has been supported by the UDOT MMITSS Transit Signal Priority Control Project from the Utah Department of Transportation. AUTHOR CONTRIBUTION STATEMENT  ... 
doi:10.1177/0361198118773567 fatcat:dkjy2daaqzburaiu4hkdlk2ktq

Active Highways (Position Paper)

Liviu Iftode, Stephen Smaldone, Mario Gerla, James Misener
2008 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications  
In particular, Active Highways will allow drivers to reserve slots in special high-priority intelligent lanes.  ...  Under good conditions, highways provide a safe and efficient route for people and goods to reach their destinations.  ...  We consider this policy in the event that the first policy proves too complex to achieve in practice. In this policy, an entering vehicle sends an RTY message without a digital ticket.  ... 
doi:10.1109/pimrc.2008.4699958 dblp:conf/pimrc/IftodeSGM08 fatcat:glx4rigceneedpwltkitype5pa

Page 339 of Criminal Law & Justice Weekly Vol. 155, Issue 22 [page]

1991 Criminal Law & Justice Weekly  
Traffic plans in the Road Traffic Bill Many large towns and cities now have bus routes which are reserved for the whole or part of the day for buses and, in many cases, for taxis and other privileged vehicles  ...  priority will be given to through traffic, and also for the appointment of a Traffic Director and a Parking Adjudicator for Greater London.  ... 

Development, Evaluation, and Selection of Advanced Transit Signal Priority Concept Directions

Amer Shalaby, Jinwoo Lee, John Greenough, Stanley Hung, Michael Bowie
2006 Journal of Public Transportation  
This article presents a process to define the framework for an advanced Transit Signal Priority (TSP) algorithm.  ...  For this study, traffic and transit agencies from a broad range of municipalities in Ontario, Canada, provided their views and expertise on various TSP-related issues, including practical needs, design  ...  Adaptive priority control offers considerable promise for maximizing benefits for both transit vehicles and the general traffic, but the strategy has been only evaluated in laboratory environments and  ... 
doi:10.5038/2375-0901.9.5.6 fatcat:nusagiaafneh7h6ow5ar4duvrq

Research Issues in Multiple Policy Optimization Using Collaborative Reinforcement Learning

Ivana Dusparic, Vinny Cahill
2007 International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS '07)  
Alternatively, agents implementing different policies could collaborate to meet global system goals even International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS'07)  ...  own policies.  ...  time or on number of passengers, priority of public vehicles based on their timetable, priority of vehicle fleets, priority of traffic from or to certain areas etc.  ... 
doi:10.1109/seams.2007.17 dblp:conf/icse/DusparicC07 fatcat:icftcthamnbwdidzgtfnrs7obq

DISCON: Public Transport Dispatching Robust Control

Andrzej Adamski
2014 Procedia - Social and Behavioral Sciences  
Next the dynamic trade-offs with conflicting intersection users demands and service standards are established by PIACON control method and admissible priority control options in terms of so called "reference  ...  The uncertainty and stochastic aspects visible in public transport operation create the demand for dedicated intelligent dispatching robust control proposals.  ...  of aggregation, in space (individual stops, route zones, overall routes), in vehicles population (one vehicle, groups of vehicles) or in time periods (rush hours, transient service periods during a day  ... 
doi:10.1016/j.sbspro.2014.01.155 fatcat:bjqupvmw3vflxgf2bfbszbqgai

Study of Group Route Optimization for IoT Enabled Urban Transportation Network

Koh Song Sang, Bo Zhou, Po Yang, Zaili Yang
2017 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)  
Traffic congestion is always a major issue in urban planning, especially when the vehicles in the roadway keep growing and the local authorities are lack of solutions to manage or distribute the traffics  ...  Additionally, the most traditional methods of resolving traffic congestion or rerouting algorithm are mainly designed for individuals' benefits, by simply planning a driver's route based on minimum travel  ...  [5] however proposed an adaptive vehicle guidance system which can search for the best path in a smarter way by using real-time changes in the network.  ... 
doi:10.1109/ithings-greencom-cpscom-smartdata.2017.137 dblp:conf/ithings/SangZYY17 fatcat:r6ef2tbn2jbkvih3shqqsxcjl4

Using Reinforcement Learning for Multi-policy Optimization in Decentralized Autonomic Systems – An Experimental Evaluation [chapter]

Ivana Dusparic, Vinny Cahill
2009 Lecture Notes in Computer Science  
The results also indicate that explicitly supporting multiple policies simultaneously can improve waiting times over policies dedicated to optimizing for a single vehicle type.  ...  We evaluate these techniques in an Urban Traffic Control simulation and compare two approaches to supporting multiple policies.  ...  Cabrol for their work on the traffic simulator.  ... 
doi:10.1007/978-3-642-02704-8_9 fatcat:cn7f7edoujasnp3lqomizg7k6i

IMPLEMENTATION OF URBAN TRANSPORTATION POLICY BASED ON LAW NO. 22 YEAR 2009 ON ROAD TRAFFIC AND TRANSPORTATION

Alwi Alwi
2012 MASALAH-MASALAH HUKUM  
this issue not yetresolved with effectively.Therefore, the required development and law enforcement in the implementation of urban transport policy in Indonesia.  ...  In addition, the delegation of authority on urban transportation to Local Government has been done, as regulated in Law 22 of 2009, which is aconcrete manifestation of the policy of regional autonomy but  ...  Implementation testing for motor vehicles; Alwi, lmplemental!on Of Urban Transportation Policy 2.  ... 
doi:10.14710/mmh.41.2.2012.198-208 doaj:26a30f5bca264bde9be9ee73565a8a32 fatcat:z2vmah57ovdrdapy6kh5ghcio4

Adaptive traffic management for secure and efficient emergency services in smart cities

Soufiene Djahel, Mazeiar Salehie, Irina Tal, Pooyan Jamshidi
2013 2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)  
To this end, we propose to design a framework in which the Traffic Management System (TMS) may adapt by dynamically adjusting traffic lights, changing related driving policies, recommending behavior change  ...  Rapid increase in number of vehicles on the roads as well as growing size of cities have led to a plethora of challenges for road traffic management authorities such as traffic congestion, accidents and  ...  The high emergency level has the highest priority for changing behaviors or policies of system components.  ... 
doi:10.1109/percomw.2013.6529511 dblp:conf/percom/DjahelSTJ13 fatcat:bm443e4q4ncxpgjp3mgaipd7te

An Emergency Adaptive Communication Protocol for Driver Health Monitoring in WSN Based Vehicular Environments

Young-Duk Kim, Soon Kwon, Woo Young Jung, Dongkyun Kim
2015 International Journal of Distributed Sensor Networks  
In addition, an emergency aware queue management scheme and packet drop policy are proposed to improve the reliability of emergency data traffic during transmission.  ...  Hence, the proposed protocol defines an emergency factor for each data packet and exploits it for both route establishment and channel access procedures.  ...  Acknowledgments This work was supported by Daegu Gyeongbuk Institute of Science and Technology (DGIST) and was funded by Ministry of Science, ICT, and Future Planning (MSIP) of Korea.  ... 
doi:10.1155/2015/704253 fatcat:rfwbj3amrzad3hokmxulcpmy2m

C-ITS bundling for integrated traffic management [article]

Evangelos Mitsakis, Areti Kotsi, Vasileios Psonis
2020 arXiv   pre-print
This work spotlights the operators-managers bundling dimension, presenting a framework based on a step-by-step approach for integrating C-ITS services in traditional traffic management.  ...  In the context of traffic efficiency, C-ITS technologies could assist in road network status visualization and monitoring, through data exchange, improving this way traffic control organization and traffic  ...  For green light priority for example, the status (on/ off) should be provided to service providers so they can adapt their service (Green Priority) for their customers (endusers). • End-users: The Operator-Manager  ... 
arXiv:2011.03425v1 fatcat:wiq4urzftjb53l67olgodyhmlm

The evolution of urban traffic control: changing policy and technology

Andrew Hamilton, Ben Waterson, Tom Cherrett, Andrew Robinson, Ian Snell
2013 Transportation planning and technology (Print)  
The history of urban traffic control (UTC) throughout the past century has been a continued race to keep pace with ever more complex policy objectives and consistently increasing vehicle demand.  ...  plans to modern integrated systems.  ...  Since 2007 Google Maps have displayed live traffic information for users who planned their route before travelling.  ... 
doi:10.1080/03081060.2012.745318 fatcat:tfqswwj2bzby7mhck4ntaohx7u
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