Eco-Driving for Public Transit in Cyber-Physical Systems Using V2I Communication

Zhang, Liguo; Liang, Wenjia; Zheng, Xiuzheng

doi:10.1007/s13177-017-0139-1

Cited by 12 publications

(9 citation statements)

References 13 publications

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“…Moreover, considering the US practice, which states that bus must remain operational for at least twelve years to qualify for federal funds [32], shows just how much the operability depends on the maintaining quality. Therefore, under the pressure of budget constraints, the agencies road design [69], way of ticketing [70,71], platform issues [10,51], headway regularity [72], emission [73], and special events [74]. All of the factors affect mobility managers' optimisation and scheduling whether they are Bus Rapid Transit (BRT) [75,76] roadways, trolley fixed roadways [77], or conventional infrastructures.…”

Section: Bus Fleet Asset Management (Bfam) Realmmentioning

confidence: 99%

“…On the other side, a lot of different cost-saving methods exist within conventional infrastructures, for instance, eco-driving [78]. Eco-driving is a non-aggressive driving technique employed by drivers for efficient fuel consumption and environmental preservation [73]. With the constant development of ITS systems [35,71,72,79,80], whether they are based on GPS [34,[79][80][81][82] or GSM [11], eco-driving can benefit from various strategies to minimise fuel consumption, consequently reducing pollution.…”

Section: Bus Fleet Asset Management (Bfam) Realmmentioning

confidence: 99%

See 1 more Smart Citation

Bus Fleet Management – A Systematic Literature Review

Orošnjak

Jocanović

Gvozdenac-Urošević

et al. 2020

PROMET

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The research on Bus Fleet Management (BFM) has undergone significant changes. It is unclear whether these changes are accepted as technological change or as a paradigm shift. Perhaps unintentionally, BFM is still perceived as routing and scheduling by some, and by others as maintenance and replacement strategy. Therefore, the authors conducted a Systematic Literature Review (SLR) to overview the existing concepts and school of thoughts about how stakeholders perceive the BFM. The SLR post-study exposed that BFM should be acknowledged as a multi-realm system rather than a uniform dimension of fulfilling timely service. Nonetheless, the work encapsulates BFM evolution which shows the need for the multi-realm research abstracted as "Bus Fleet Mobility Management" and "Bus Fleet Asset Management". The difficulties of transport agencies and their ability to switch from conventional to Zero-Emission Buses (ZEBs) illustrates why we propose such an agenda, by which the research is validated through needs both in academia and in practice.

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Section: Bus Fleet Asset Management (Bfam) Realmmentioning

confidence: 99%

Section: Bus Fleet Asset Management (Bfam) Realmmentioning

confidence: 99%

Bus Fleet Management – A Systematic Literature Review

Orošnjak

Jocanović

Gvozdenac-Urošević

et al. 2020

PROMET

View full text Add to dashboard Cite

show abstract

“…A few studies have attempted to develop eco-driving systems to reduce fuel and emission levels along traffic signalized corridors. A bus eco-driving system was proposed in [17] by adjusting the vehicle speed profile and the dwelling time at bus stops to ensure that buses can smoothly pass downstream signalized intersections. A MATLAB simulated environment was used to validate the benefit of the proposed system and show a saving of 5.5% emissions.…”

Section: Introductionmentioning

confidence: 99%

Developing and Field Testing a Green Light Optimal Speed Advisory System for Buses

Chen

Rakha

2022

Energies

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In this study, a Green Light Optimal Speed Advisory (GLOSA) system for buses (B-GLOSA) was developed. The proposed B-GLOSA system was implemented on diesel buses, and field tested to validate and quantify the potential real-world benefits. The developed system includes a simple and easy-to-calibrate fuel consumption model that computes instantaneous diesel bus fuel consumption rates. The bus fuel consumption model, a vehicle dynamics model, the traffic signal timings, and the relationship between vehicle speed and distance to the intersection are used to construct an optimization problem. A moving-horizon dynamic programming problem solved using the A-star algorithm is used to compute the energy-optimized vehicle trajectory through signalized intersections. The Virginia Smart Road test facility was used to conduct the field test on 30 participants. Each participant drove three scenarios, including a base case uninformed drive, an informed drive with signal timing information communicated to the driver, and an informed drive with the recommended speed computed by the B-GLOSA system. The field test investigated the performance of using the developed B-GLOSA system considering different impact factors, including road grades and red indication offsets, using a split-split-plot experimental design. The test results demonstrated that the proposed B-GLOSA system can produce smoother bus trajectories through signalized intersections, thus producing fuel consumption and travel time savings. Specifically, compared to the uninformed drive, the B-GLOSA system produces fuel and travel time savings of 22.1% and 6.1%, on average, respectively.

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“…A few studies have attempted to develop eco-driving systems to save fuel and emissions when buses pass signalized intersections. Zhang et al proposed a bus eco-driving system by adjusting vehicle speed profile and the dwell time at bus stations to ensure that buses can smoothly pass downstream of signalized intersections [48]. A MATLAB simulated environment was used to validate the benefit of the proposed system, showing a savings of 5.5% in emissions.…”

Section: Introductionmentioning

confidence: 99%

Developing and Testing an Eco-Cooperative Adaptive Cruise Control System for Buses

Samira

Mansoureh

2020

International Conference on Transportation and Development 2020

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Studies over the past decade have shown that eco-driving systems which provide speed advisories to drivers/vehicles using data received via vehicle-to-infrastructure and vehicle-to-vehicle communications can help improve traffic mobility and reduce vehicle energy and emission levels. This study extends the Eco-Cooperative Adaptive Cruise Control (Eco-CACC) system previously developed for light duty vehicles to heavy duty vehicles (diesel and hybrid electric buses). First, the energy consumption models for diesel and hybrid buses are discussed and the field data collected by Blacksburg Transit are used to calibrate bus models. Thereafter, the bus Eco-CACC system is developed by incorporating the vehicle dynamic model and energy consumption model for buses. The developed Eco-CACC system has manual and automated modes to control buses. The manual Eco-CACC mode was tested by participants using driving simulators at Morgan State University under various scenarios that included different types of information. In addition, the automated bus Eco-CACC system was tested using the INTEGRATION microscopic simulation software to quantify the system-wide impacts of the proposed system under various traffic demand and vehicle types. The test results demonstrated that the proposed system could improve transit operations by reducing delay and helping transit agencies save on energy costs, resulting in an improved transit level of service, increased ridership, and improved traffic mobility.

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Eco-Driving for Public Transit in Cyber-Physical Systems Using V2I Communication

Cited by 12 publications

References 13 publications

Bus Fleet Management – A Systematic Literature Review

Bus Fleet Management – A Systematic Literature Review

Developing and Field Testing a Green Light Optimal Speed Advisory System for Buses

Developing and Testing an Eco-Cooperative Adaptive Cruise Control System for Buses

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