Implementing transit signal priority in a connected vehicle environment with and without bus stops

2018 ◽  
Vol 7 (1) ◽  
pp. 423-445 ◽  
Author(s):  
Kaidi Yang ◽  
Monica Menendez ◽  
S. Ilgin Guler
Keyword(s):  
Connected Vehicle ◽  
Transit Signal Priority ◽  
Bus Stops

scholarly journals Arterial Performance Measures in a Connected Vehicle Environment

2020 ◽  
Author(s):  
Noah J. Goodall ◽  
Brian L. Smith ◽  
Ramkumar Venkatanarayana
Keyword(s):  
Performance Metrics ◽  
Lateral Acceleration ◽  
Connected Vehicle ◽  
Transit Signal Priority ◽  
Traffic Calming ◽  
Arterial Performance ◽  
Data Elements ◽  
Measures Of Effectiveness ◽  
Point Detection ◽  
Regulation Compliance

Wireless communication between vehicles and the transportation infrastructure will provide significantly more timely and comprehensive information about arterials and their performance. However, most measures-of-effectiveness were developed based on data available from traditional “point” sensors. The information made available in a connected vehicle environment requires new metrics that can fully utilize the data. This paper identifies several new arterial performance metrics made available in a connected vehicle environment, as well as several existing metrics that can be evaluated more accurately and frequently than before. The new metrics are person-delay, sudden deceleration, change in lateral acceleration, and aggregate regulation compliance. Person-delay measures a vehicle’s lost time multiplied by the number of passengers, and allows for more efficient movement of high-occupancy vehicles and sophisticated transit signal priority. Sudden deceleration and change in lateral acceleration measure activities such as unexpected braking and swerving, which may be leading indicators of unsafe conditions. Aggregate regulation compliance detects unsafe driving behavior that is difficult to collect in the field, such as speeding and illegal U-turns. Engineers can address problem areas through signal timing changes traffic calming, and other measures. The proposed metrics all require high-resolution detection, and are difficult or impossible to measure with existing point detection. For each new metric, its compatibility with connected vehicles is discussed, and required SAE J2735 DSRC Message Set Dictionary data elements are identified.

Conditional Transit Signal Priority for Connected Transit Vehicles

2021 ◽  
pp. 036119812110444
Author(s):  
Zorica Cvijovic ◽  
Milan Zlatkovic ◽  
Aleksandar Stevanovic ◽  
Yu Song
Keyword(s):  
Model Building ◽  
Salt Lake ◽  
Salt Lake City ◽  
Test Case ◽  
Vehicle Speed ◽  
Connected Vehicle ◽  
Transit Signal Priority ◽  
Lake City ◽  
State Street ◽  
Stop Line

Connected vehicle (CV) technologies enable safe and interoperable wireless communication among vehicles and the infrastructure with the possibility to run many applications that can improve safety, and enhance mobility. This paper develops CV-based algorithms which use transit vehicle speed and the estimated time that the vehicle needs to arrive at an intersection to trigger transit signal priority (TSP) initiation. This information is updated each second based on the traffic conditions such as speed, a current distance of a transit vehicle to the intersection, and queue conditions. The algorithm uses the actual speed of a transit vehicle and its latitude/longitude (lat/lon) coordinates to compute the time that the vehicle needs to reach the stop line. It was tested on a real-world network using VISSIM traffic simulation, but can easily be implemented in the field, since it is using world coordinates. The upgraded algorithm was applied to a future bus rapid transit (BRT) scenario, and included different levels of conditional TSP, which depend on three combined conditions: the time that a transit vehicle needs to reach the stop line, the number of passengers on board, and the lateness that the transit vehicle experiences. The test-case network used for model building is a corridor consisting of ten signalized intersections along State Street in Salt Lake City, UT. The CV algorithms coupled with TSP can yield notable delay reductions for both the regular bus and the BRT of 33% and 12%, respectively.

scholarly journals Multi-Level Conditional Transit Signal Priority in Connected Vehicle Environments

2021 ◽  
Vol 67 (2) ◽  
pp. 1-12
Author(s):  
Zorica Cvijovic ◽  
Milan Zlatkovic ◽  
Aleksandar Stevanovic ◽  
Yu Song
Keyword(s):  
Salt Lake ◽  
Salt Lake City ◽  
Test Case ◽  
Connected Vehicle ◽  
Transit Signal Priority ◽  
Traffic Operations ◽  
Multi Level ◽  
Lake City ◽  
State Street ◽  
Share Information

Connected Vehicles (CV) are an emerging technology with a large potential to improve traffic operations and safety. This paper develops and tests advanced CV-based multi-level conditional Transit Signal Priority (TSP). The algorithms are using the latitude/longitude (lat/lon) coordinates of CV vehicles and intersections to establish communication, share information and request priority. The TSP strategies are implemented through controllers’ built-in features and logic processor, using Econolite ASC/3 as a representative traffic signal controller. The tests were performed in VISSIM microsimulation with the ASC/3 Software-in-the-Loop (SIL) controller emulator. State Street in Salt Lake City, UT, is selected as a test-case corridor. The paper shows that the developed signal control priority (SCP) algorithms are successful in reducing delays for target vehicles in excess of 6%, without significant impacts on other traffic. The information obtained from CV vehicles can be used to further enhance control algorithms and create adaptive SCP programs.

scholarly journals Environmental Impact of Freight Signal Priority with Connected Trucks

2019 ◽  
Vol 11 (23) ◽  
pp. 6819
Author(s):  
Sangjun Park ◽  
Kyoungho Ahn ◽  
Hesham A. Rakha
Keyword(s):  
Fuel Consumption ◽  
Signalized Intersections ◽  
Simulation Software ◽  
Traffic Signal ◽  
Connected Vehicle ◽  
Transit Signal Priority ◽  
Passenger Cars ◽  
Microscopic Traffic Simulation ◽  
Operational Technique ◽  
Fuel Consumption And Emissions

Traffic signal priority is an operational technique employed for the smooth progression of a specific type of vehicle at signalized intersections. Transit signal priority is the most common type of traffic signal priority, and it has been researched extensively. Conversely, the impacts of freight signal priority (FSP) has not been widely investigated. Hence, this study aims to evaluate the energy and environmental impacts of FSP under connected vehicle environment by utilizing a simulation testbed developed for the multi-modal intelligent transportation signal system. The simulation platform consists of VISSIM microscopic traffic simulation software, a signal request messages distributor program, an RSE module, and an Econolite ASC/3 traffic controller emulator. The MOVES model was employed to estimate the vehicle fuel consumption and emissions. The simulation study revealed that the implementation of FSP significantly reduced the fuel consumption and emissions of connected trucks and general passenger cars; the network-wide fuel consumption was reduced by 11.8%, and the CO2, HC, CO, and NOX emissions by 11.8%, 28.3%, 24.8%, and 25.9%, respectively. However, the fuel consumption and emissions of the side-street vehicles increased substantially due to the reduced green signal times on the side streets, especially in the high truck composition scenario.

Field Evaluation of Connected Vehicle-Based Transit Signal Priority Control under Two Different Signal Plans

2020 ◽  
Vol 2674 (7) ◽  
pp. 172-180
Author(s):  
Qinzheng Wang ◽  
Xianfeng (Terry) Yang ◽  
Blaine D. Leonard ◽  
Jamie Mackey
Keyword(s):  
Travel Time ◽  
Salt Lake ◽  
Salt Lake City ◽  
Field Evaluation ◽  
Connected Vehicle ◽  
Transit Signal Priority ◽  
Running Time ◽  
Lake City ◽  
Transit Operation ◽  
Bus Travel Time

In 2017, a connected vehicle (CV) corridor utilizing dedicated short-range communication (DSRC) technology was built along Redwood Road, Salt Lake City, Utah. One main goal of this CV corridor is to implement transit signal priority (TSP) when the bus is behind its published schedule by a certain threshold. With the data generated by the transit vehicles, transmitted through the DSRC system, logged by traffic signal controller, and coupled with the Utah Transit Authority (UTA) data from transit operation system, some performance data of the TSP can be analyzed including TSP requested, TSP served, bus reliability, bus travel time, and bus running time. For providing better signal coordination to buses, the signal plan for this CV corridor underwent retiming in October 2018. This research aims to compare the TSP performance before and after the signal retiming. The field data of August, September, November, and December in 2018 were selected to perform this evaluation. Results show that the TSP served rate after signal retiming is 35.29%, which is higher than that of 33.12% before signal retiming. In addition, compared with the signal plan before October, bus reliability northbound and southbound on the CV corridor was improved by 2.4% and 1.47%, respectively; bus travel time and bus running time were reduced as well.

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