Demonstrating Transit Schedule Benefits with a Dedicated Short-Range Communication-Based Connected Vehicle System

Leonard, Blaine D.; Mackey, Jamie; Sheffield, Michael; Bassett, David R.; Larson, Shawn; Hooper, Ivan

doi:10.1177/0361198119859321

Cited by 6 publications

(9 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A recent field implementation and study of CV-equipped buses along the Redwood Road corridor in Salt Lake County, UT, showed that the equipped buses that requested priority met their schedules 2%-6% more frequently than other buses. This field test also proved the reliability of that DSRC communication (Leonard et al, 2019). Other recent studies used traffic simulation to evaluate TSP effects in a CV environment.…”

Section: Literature Reviewsupporting

confidence: 55%

“…Due to the negative effects on the side-streets, BRT with unconditional TSP has not been considered for this study (Al-Deek et al 2017). Furthermore, it is assumed that for the future BRT operations UDOT and UTA will implement conditional CV-based TSP, according to the current field tests (Leonard et al, 2019). The 2025 CV BRT TSP model included BRT operations, CV-equipped buses and 3level custom conditional TSP strategies.…”

Section: CV Brt Tsp Modelmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Level Conditional Transit Signal Priority in Connected Vehicle Environments

Cvijovic

Zlatkovic

Stevanović

et al. 2021

PIS

View full text Add to dashboard Cite

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.

show abstract

Section: Literature Reviewsupporting

confidence: 55%

Section: CV Brt Tsp Modelmentioning

confidence: 99%

Multi-Level Conditional Transit Signal Priority in Connected Vehicle Environments

Cvijovic

Zlatkovic

Stevanović

et al. 2021

PIS

View full text Add to dashboard Cite

show abstract

“…Even though this TSP system is the most advanced so far, the position from where the vehicles are sending their position to request priority is the same for all vehicles, and fixed on a geofenced limit around a signalized intersection of about 1,000 ft. This system also uses the Multi-Modal Intelligent Traffic Signal System (MMITSS) application to exchange information, such as schedule adherence and the number of passengers on board, in the way that complies with the Society of Automotive Engineers (SAE) J2735-2016 standard (22,23). Using the data available from this corridor, Lenard at al., found that busses equipped with CV technologies and using the TSP strategy follow their published schedule about 2%-6% more frequently than vehicles without the particular equipment (23).…”

Section: Literature Reviewmentioning

confidence: 99%

Conditional Transit Signal Priority for Connected Transit Vehicles

Cvijovic

Zlatkovic

Stevanovic

et al. 2021

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

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.

show abstract

“…The TSP software for this deployment was based on the Multi-modal Intelligent Traffic Signal System (MMITSS) developed for the Connected Vehicle (CV) Pooled Fund Study. It was adapted to match Utah’s needs and is referred to as MMITSS-UT ( 2 ).…”

mentioning

confidence: 99%

“…After implementing TSP in November 2017, researchers determined that equipped buses were on time 3% more often than non-equipped buses ( 2 , 3 ). Optimization was then needed to further improve the effectiveness and efficiency of the operation.…”

mentioning

confidence: 99%

Sensitivity Analysis of the Transit Signal Priority Requesting Threshold and the Impact on Bus Performance and General Traffic

Sheffield¹,

Schultz

Bassett³

et al. 2021

Transportation Research Record: Journal of the Transportation R

Self Cite

View full text Add to dashboard Cite

An analysis was performed to evaluate the impact of changing the transit signal priority (TSP) requesting threshold on bus performance and general traffic, using field-generated data exclusively. Route 217, a conventional bus route that uses a dedicated short-range communication (DSRC)-based TSP system as part of its normal day-to-day operations, was analyzed over a three-month period from May 2019 through August 2019. The requesting thresholds evaluated for Route 217 were 3, 2, and 0 min, which stipulate how far behind schedule the bus must be to request TSP. For each requesting threshold, bus performance was evaluated through on-time performance (OTP), schedule deviation, travel time, and dwell time, while the traffic analysis was performed by evaluating split failure, change in green time, and the frequency at which TSP was served. A combination of observational and statistical analyses concluded with convincing evidence that OTP, schedule deviation, and travel time improve as the requesting threshold approaches zero with negligible impacts on general traffic. As the requesting threshold changed from 3, to 2, to 0 min, OTP increased 2.0% and 2.5%, respectively; mean schedule deviation improved by 15.9 s and 20.9 s, respectively; and travel time decreased at 75% of timepoints. Meanwhile, negative impacts to traffic occurred if an increase in split failure was measured after TSP was served, a phenomenon observed a maximum of once every 43 min. Thus, it is concluded that bus performance improves as the requesting threshold approaches zero with inconsequential impacts on general traffic.

show abstract

Demonstrating Transit Schedule Benefits with a Dedicated Short-Range Communication-Based Connected Vehicle System

Cited by 6 publications

References 2 publications

Multi-Level Conditional Transit Signal Priority in Connected Vehicle Environments

Multi-Level Conditional Transit Signal Priority in Connected Vehicle Environments

Conditional Transit Signal Priority for Connected Transit Vehicles

Sensitivity Analysis of the Transit Signal Priority Requesting Threshold and the Impact on Bus Performance and General Traffic

Contact Info

Product

Resources

About