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Journal articles on the topic 'Transit Buses'

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1

Liu, Luying, Andrew Kotz, Aditya Salapaka, Eric Miller, and William F. Northrop. "Impact of Time-Varying Passenger Loading on Conventional and Electrified Transit Bus Energy Consumption." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 10 (2019): 632–40. http://dx.doi.org/10.1177/0361198119852337.

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Transit bus passenger loading changes significantly over the course of a workday. Therefore, time-varying vehicle mass as a result of passenger load becomes an important factor in instantaneous energy consumption. Battery-powered electric transit buses have restricted range and longer “fueling” time compared with conventional diesel-powered buses; thus, it is critical to know how much energy they require. Our previous work has shown that instantaneous transit bus mass can be obtained by measuring the pressure in the vehicle’s airbag suspension system. This paper leverages this novel technique
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2

Schimek, Paul. "Reducing emissions from transit buses." Regional Science and Urban Economics 31, no. 4 (2001): 433–51. http://dx.doi.org/10.1016/s0166-0462(00)00083-1.

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3

Yu, Bin, Keming Wang, Zixuan Peng, Can Wang, Ziyou Gao, and Baozhen Yao. "Dynamic Extra Buses Scheduling Strategy in Public Transport." PROMET - Traffic&Transportation 27, no. 3 (2015): 205–16. http://dx.doi.org/10.7307/ptt.v27i3.1547.

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This paper presents a dynamic extra buses scheduling strategy to improve the transit service of transit routes. In this strategy, in order to decide when to dispatch an extra bus, the service reliability of transit route is assessed firstly. A model aimed at maximizing the benefit of the extra buses scheduling strategy is constructed to determine how many stops extra buses need to skip from the terminal to accommodate passengers at the following stops. A heuristic algorithm is defined and implemented to estimate the service reliability of transit route and to optimize the initial stop of extra
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Ziring, Emily, and P. S. Sriraj. "Mitigating Excessive Idling of Transit Buses." Transportation Research Record: Journal of the Transportation Research Board 2143, no. 1 (2010): 142–49. http://dx.doi.org/10.3141/2143-18.

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5

Dong, Xiaoxia, Matthew DiScenna, and Erick Guerra. "Transit user perceptions of driverless buses." Transportation 46, no. 1 (2017): 35–50. http://dx.doi.org/10.1007/s11116-017-9786-y.

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6

Schimek, Paul. "Reducing Particulate Matter and Oxides of Nitrogen Emissions from Heavy-Duty Vehicles: The Urban Bus Case." Transportation Research Record: Journal of the Transportation Research Board 1641, no. 1 (1998): 39–47. http://dx.doi.org/10.3141/1641-05.

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The 1990 Clean Air Act Amendments mandated stricter emissions standards for heavy-duty vehicles. One category of heavy-duty vehicles, urban transit buses, constitutes a highly visible source of pollutant emissions and must meet even more stringent standards. In response, engine manufacturers have produced diesel engines that produce virtually no black smoke and emit several times less particulate matter (PM) than older engines. The tighter PM emissions standards that apply to urban transit buses only were found to be cost-effective ($4,600 to $6,300 per Mg of PM reduced) compared with other co
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Li, Chenxu, Lei Yu, and Guohua Song. "Improved Binning of Operating Modes in EPA Simulator Program for Transit Buses: Case Study in Beijing." Transportation Research Record: Journal of the Transportation Research Board 2627, no. 1 (2017): 57–66. http://dx.doi.org/10.3141/2627-07.

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The Motor Vehicle Emissions Simulator (MOVES) quantifies emissions as a function of the operating mode (opmode) and emissions rates. The opmode, the determinant parameter in estimating emissions, is defined by two critical parameters: speed and scaled tractive power (STP). Activity characteristics of transit buses are commonly recognized as being quite different from those of other vehicles, and this study found the values of the two parameters for transit buses to be much smaller than those for other vehicles. However, the MOVES program uses an identical opmode binning method for transit buse
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Kostyniuk, Lidia. "Pupil Fatalities on Public Transit Buses: A Comparison with School Buses." Journal of Public Transportation 6, no. 3 (2003): 43–63. http://dx.doi.org/10.5038/2375-0901.6.3.3.

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9

Wayne, W. Scott, Jairo A. Sandoval, and Nigel N. Clark. "Emissions Benefits from Alternative Fuels and Advanced Technology in the U.S. Transit Bus Fleet." Energy & Environment 20, no. 4 (2009): 497–515. http://dx.doi.org/10.1260/095830509788707374.

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Alternative fuels and technologies offer potential for reducing emissions in public transportation. These potentials were explored by determining emissions levels and fuel consumption from the U.S. transit bus fleet and comparison of hypothetical scenarios in which implementation of specific alternative fuels and technologies is considered. Impacts from current transit bus procurements were also evaluated. Emissions benefits above and beyond the natural course of transit bus procurements were examined for new diesel buses running on ULSD fuel, diesel-electric hybrid buses, gasoline-electric hy
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10

Shu, Shijie, Jing Zhao, and Yin Han. "Novel Design Method for Bus Approach Lanes with Bus Guidance and Priority Controls for Prioritizing Through and Left-Turn Buses." Journal of Advanced Transportation 2019 (March 6, 2019): 1–15. http://dx.doi.org/10.1155/2019/2327876.

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Transit priority is a useful way of improving transit operations in urban networks. However, the through and left-turn buses are rarely prioritized simultaneously at isolated intersections in the existing studies. This paper presents a variable bus approach lane design with a bus guidance and priority control model, which can reduce the delay of both the through and left-turn buses. The variable bus approach lanes can be dynamically used for the through and left-turn buses during the various periods of a signal cycle by the integrated design of geometric layouts and signal timing. A detailed b
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Yang, Min, Wei Wang, Bo Wang, and Jing Han. "Performance of the Priority Control Strategies for Bus Rapid Transit: Comparative Study from Scenario Microsimulation Using VISSIM." Discrete Dynamics in Nature and Society 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/398938.

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Bus rapid transit (BRT) has a great potential to improve the service level of transit system and has been implemented in many Chinese cities. However, the priority it can provide to buses has not been explored fully. Therefore, this study mainly investigated two advanced control strategies (signal priority using advanced detection and transit speed control). Signal priority using advanced detection is a strategy which detects one cycle ahead of buses’ arrival in order to adapt a more flexible control algorithm to provide signal priority for buses. Another is transit speed control, which provid
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12

Xiao, Jie, Bohdan T. Kulakowski, and Ming Cao. "Active air-suspension design for transit buses." International Journal of Heavy Vehicle Systems 14, no. 4 (2007): 421. http://dx.doi.org/10.1504/ijhvs.2007.015710.

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13

Larsen, Robert. "Feasibility of Advanced Vehicle Control Systems for Transit Buses." Transportation Research Record: Journal of the Transportation Research Board 1604, no. 1 (1997): 155–62. http://dx.doi.org/10.3141/1604-18.

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In the course of developing automated vehicle-roadway systems, opportunities to deploy vehicle control systems at intermediate stages of development may emerge. Some of these systems may provide a significant efficiency or safety enhancement to existing operations with manually driven vehicles. Under certain circumstances, transit buses provide an ideal test bed for such systems. A feasibility study for the application of advanced vehicle control systems (AVCS) to transit bus operations is described. Past and present research relevant to automatic control for buses is explored, and specific op
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Blynn, Kelly, and John Attanucci. "Accelerating Bus Electrification: A Mixed Methods Analysis of Barriers and Drivers to Scaling Transit Fleet Electrification." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 8 (2019): 577–87. http://dx.doi.org/10.1177/0361198119842117.

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Although transit buses have a relatively small impact on greenhouse gas emissions, they have a larger impact on urban air quality, have commercially available electric models, and have historically commercialized clean technologies that enabled deployment in other heavy-duty vehicles. This paper investigates what factors affect transit agencies’ decisions to go beyond electric bus pilots to larger scale deployments, with the goal of identifying strategies to enable an accelerated transition to an electrified fleet. This mixed methods analysis utilized quantitative total cost of ownership analy
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Quarles, Neil, Kara M. Kockelman, and Moataz Mohamed. "Costs and Benefits of Electrifying and Automating Bus Transit Fleets." Sustainability 12, no. 10 (2020): 3977. http://dx.doi.org/10.3390/su12103977.

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Diesel-powered, human-driven buses currently dominate public transit options in most U.S. cities, yet they produce health, environmental, and cost concerns. Emerging technologies may improve fleet operations by cost-effectively reducing emissions. This study analyzes both battery-electric buses and self-driving (autonomous) buses from both cost and qualitative perspectives, using the Capital Metropolitan Transportation Authority’s bus fleet in Austin, Texas. The study predicts battery-electric buses, including the required charging infrastructure, will become lifecycle cost-competitive in or b
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Shanmugam, Kavitha, Anju Baroth, Sachin Nande, Dalia M. M. Yacout, Mats Tysklind, and Venkata K. K. Upadhyayula. "Social Cost Benefit Analysis of Operating Compressed Biomethane (CBM) Transit Buses in Cities of Developing Nations: A Case Study." Sustainability 11, no. 15 (2019): 4190. http://dx.doi.org/10.3390/su11154190.

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Cities in developing nations have to deal with two significant sustainability challenges amidst rampant urbanization. First, consumer-generated food waste is increasing monumentally since open dumping is still followed as a predominant practice, the negative environmental externalities associated with food waste disposal are growing beyond manageable proportions. Second, the dependency on conventional fuels like diesel to operate transit buses, which is one of the major causes for deteriorating urban air quality. A nexus established between food waste management and operation of transit buses
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17

Cai, Hong Zhou, Shou Feng Ma, and Li Wei. "Application of VISSIM in Public Transit Facilities Analysis and Evaluation." Applied Mechanics and Materials 361-363 (August 2013): 2293–96. http://dx.doi.org/10.4028/www.scientific.net/amm.361-363.2293.

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The level of service and efficiency of public transit facilities affect the functions of urban transportation. VISSIM as a microscopic simulation software is conducted to model the operation processes of public transit facilities in the Huayuan intersection located in Tianjin city of China. Three problems are found in this study as following: seriously mutual interference between buses and cars nearby the transit facilities, deficient capacity of left-turn lanes, serious delay at the intersection including buses and cars. Some improved measures are proposed to solve these problems in the resea
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Smart, Michael J., and Nicholas J. Klein. "Remembrance of Cars and Buses Past: How Prior Life Experiences Influence Travel." Journal of Planning Education and Research 38, no. 2 (2017): 139–51. http://dx.doi.org/10.1177/0739456x17695774.

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Does living in a neighborhood with high-quality public transit influence travel behavior later in life, even if you move to a neighborhood with worse transit service? To test this, we construct residential histories of individuals using decades of data from the Panel Study of Income Dynamics. We find that past experiences shape transportation futures. Exposure to transit during young adulthood in particular is associated with an auto-light lifestyle and greater transit usage later in life. This research suggests a long-term benefit for encouraging transit at younger ages to foster a “transit h
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19

Dusseau, Ralph A., Snehamay Khasnabis, and Terence A. Smith. "Structural Responses of Transit Buses: Impact of Wheelchair Loads." Transportation Research Record: Journal of the Transportation Research Board 1521, no. 1 (1996): 137–46. http://dx.doi.org/10.1177/0361198196152100118.

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The structural responses of typical transit buses with and without wheelchair loads and the changes in these responses from one bus design to the next were investigated. To this end, finite-element computer models, with and without wheelchairs, wheelchair restraints, and wheelchair lifts, were developed for two 7.6-m transit buses designed in 1989 and 1992. These models were each analyzed under bus deceleration with seats attached to the bus floor only, and with seats attached to the bus sidewall and floor. With respect to the structural responses of these typical transit buses to bus decelera
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20

Uras, H. Mehmet, and Haluk M. Aktan. "Development of Wheelchair-Lift Prototype for Transit Buses." Journal of Transportation Engineering 121, no. 2 (1995): 214–20. http://dx.doi.org/10.1061/(asce)0733-947x(1995)121:2(214).

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21

Figler, Scott A., P. S. Sriraj, Eric W. Welch, and Nilay Yavuz. "Customer Loyalty and Chicago, Illinois, Transit Authority Buses." Transportation Research Record: Journal of the Transportation Research Board 2216, no. 1 (2011): 148–56. http://dx.doi.org/10.3141/2216-16.

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22

Khasnabis, Snehamay, Joseph Bartus, and Richard Darin Ellis. "Asset Management Framework for State Departments of Transportation to Meet Transit Fleet Requirements." Transportation Research Record: Journal of the Transportation Research Board 1835, no. 1 (2003): 74–83. http://dx.doi.org/10.3141/1835-10.

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State departments of transportation that provide the bulk of matching funds to local transit agencies for the purchase of new buses are duly concerned about the escalating costs of new buses and the lack of sufficient funds to keep up with their replacement costs. An asset management framework is presented that can be used by state departments of transportation to ( a) allocate capital dollars for the dual purpose of purchasing new buses and rebuilding existing buses within the constraints of a fixed budget when the needs of all constituent agencies in a peer group are considered and ( b) dist
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23

Zhang, Hu, Shuzhi Zhao, Yang Cao, Huasheng Liu, and Shidong Liang. "Real-Time Integrated Limited-Stop and Short-Turning Bus Control with Stochastic Travel Time." Journal of Advanced Transportation 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/2960728.

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In a traditional transit system, passenger arrival time and bus running time are typically random and uncoordinated. This randomness gives the appearance of unbalanced passenger demand and unreliable transit services. Therefore, this paper proposes a real-time control method for bus routes. In our method, buses skip some stations and turn back at appropriate stations, in order to balance passenger demand along the bus route and improve the overall transit service. Our real-time control method considers the typical changes in passenger demand and the stochastic travel time of buses. In this pap
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Iliopoulou, Christina, Ioannis Tassopoulos, Konstantinos Kepaptsoglou, and Grigorios Beligiannis. "Electric Transit Route Network Design Problem: Model and Application." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 8 (2019): 264–74. http://dx.doi.org/10.1177/0361198119838513.

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Electric buses have long been recognized as a promising direction for offering sustainable public transportation services. While range and battery performance constraints have hindered the widespread adoption of electric buses in the past, technological advances make them a prominent and attractive option for public transportation in the future. Still, operational constraints and the need for additional (charging) infrastructure highlight the need for introducing appropriate decision-making tools, tailor-made for supporting the design of transit networks operated by electric buses. This paper
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Itani, Alaa, Siva Srikukenthiran, and Amer Shalaby. "Capacity-Constrained Bus Bridging Optimization Framework." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 5 (2020): 600–612. http://dx.doi.org/10.1177/0361198120917399.

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Urban rail systems frequently suffer from unexpected service disruptions, which can result in severe delays and user dissatisfaction. “Bus bridging” is the strategy most commonly applied in responding to rail service interruptions in North America and Europe. Buses are pulled from regular routes and dispatched to serve as shuttles along the disrupted rail segment until regular train service is restored. In determining the required number of buses and source routes, most transit agencies rely on ad hoc approaches based on operational experience and constraints, which do not necessarily alleviat
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Reilly, Jack M. "Transit Service Design and Operation Practices in Western European Countries." Transportation Research Record: Journal of the Transportation Research Board 1604, no. 1 (1997): 3–8. http://dx.doi.org/10.3141/1604-01.

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Fundamental transit service design in a number of small cities in Western Europe, which have reputationally good transit systems, is discussed. This work was the result of a transit study tour sponsored by the Transit Cooperative Research Program of TRB. Key differences between transit design practice in Europe and the United States include longer distances between stops, superior customer information at bus stops, more frequent service, and downtown schedule coordination in the European systems. The combination of low-floor buses, off-board fare collection, long distances between stops, and m
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Coghlan, Christy, Sina Dabiri, Brian Mayer, et al. "Assigning Bus Delay and Predicting Travel Times using Automated Vehicle Location Data." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 3 (2019): 624–36. http://dx.doi.org/10.1177/0361198119832866.

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The Washington Metropolitan Area Transit Authority (WMATA) operates 1,250 buses on 168 different routes between 10,600 bus stops to support around 370,000 passengers each day. Utilizing sensors on vehicles and analyzing their location and movements throughout an hour, trip, or day can provide valuable information to a transit authority as well as to the users of a transit system. This amount of information can be overwhelming, but utilizing big data techniques can empower the data and the transit agency. First, this paper develops a methodology for assessing previous delays in the system by ap
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Bruun, Eric. "Bus Rapid Transit and Light Rail." Transportation Research Record: Journal of the Transportation Research Board 1927, no. 1 (2005): 11–21. http://dx.doi.org/10.1177/0361198105192700102.

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A parametric cost model was developed to provide both average and marginal cost estimates and to compare annual operating costs for light rail transit (LRT) and bus rapid transit (BRT) under an assumption of additional peak service on weekdays. The model uses readily available data from the U.S. National Transit Database. For illustrative purposes, it is applied to a hypothetical service network simulating universal coverage of a medium-sized metropolitan area with either LRT or BRT operating on trunk lines. The Dallas [Texas] Area Rapid Transit agency is selected for a computational example b
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Ghanim, Mohammad S., Francois Dion, and Ghassan Abu-Lebdeh. "The impact of dwell time variability on transit signal priority performance." Canadian Journal of Civil Engineering 41, no. 2 (2014): 154–63. http://dx.doi.org/10.1139/cjce-2012-0306.

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Transit signal priority (TSP) is an operational control strategy that provides preferential treatments for transit vehicles at signalized intersections. Many transit agencies are currently considering the implementation of priority systems providing buses with preferential treatments at signalized intersections. While studies have demonstrated potential bus delay reductions, none has attempted to identify the problems posed by variable dwell times at bus stops. This study identifies the impacts of variable dwell times on the efficiency of transit signal priority systems. Results also show that
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Wang, Xiao Ning, Yu Sheng Ci, Ke Deng, and Shuai Tang. "Research on Forecasting Model of Gaseous Pollutants Emission of Diesel Public Transport." Advanced Materials Research 518-523 (May 2012): 2753–61. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.2753.

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Based on the strong regularity of public transit, this paper presents analysis of influencing factors of buses gaseous pollutants emission at first. Then through separating the bus running process into several parts, a quantitative forecasting model of gaseous pollutants emission of diesel buses and a validity test of this model are manifested.
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Soule, Heidi H., Skip Huck, Andrew Krum, et al. "Testing an Automated Collision Avoidance and Emergency Braking System for Buses." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 4 (2020): 66–74. http://dx.doi.org/10.1177/0361198120912431.

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In 2017 the Federal Transit Administration (FTA) awarded Pierce Transit of Lakewood, WA a $1.66 million grant for a bus collision avoidance and mitigation safety research and demonstration project. The project scope includes installation of an advanced technology package, the Pedestrian Avoidance Safety System (PASS) that uses lidar sensors to trigger an automated deceleration and braking system. An “alpha testing” phase included shipping a Pierce Transit bus to Blacksburg, VA for closed-course testing of PASS on Virginia Tech Transportation Institute’s (VTTI’s) Smart Road facility. In additio
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Mei, Zhenyu, Dianhai Wang, Fujian Wang, Jun Chen, and Wei Wang. "Research on the Multiroute Probit-Based Public Transit Assignment Model Based on Bus Stop." Mathematical Problems in Engineering 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/814036.

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A public transit network differs from a general road network. The passenger flow of bus stops and the limited capacity of buses have a greater effect than road traffic flow on the running time of buses. As a result, conventional public transit assignment models that adopt the econometric road network path concept have numerous limitations. Based on the analysis, the generalized bus trip time chain is analyzed, and the concept of a congestion function is proposed to describe the relationship between trip resistance and flow in the current paper. On the premise of this study, the transit network
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Altun, Selman Z., and Peter G. Furth. "Scheduling Buses to Take Advantage of Transit Signal Priority." Transportation Research Record: Journal of the Transportation Research Board 2111, no. 1 (2009): 50–59. http://dx.doi.org/10.3141/2111-07.

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Shaw, Greg, and Timothy Gillispie. "Appropriate protection for wheelchair riders on public transit buses." Journal of Rehabilitation Research and Development 40, no. 4 (2003): 309. http://dx.doi.org/10.1682/jrrd.2003.07.0309.

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Cohen, Joshua T., James K. Hammitt, and Jonathan I. Levy. "Fuels for Urban Transit Buses: A Cost-Effectiveness Analysis." Environmental Science & Technology 37, no. 8 (2003): 1477–84. http://dx.doi.org/10.1021/es0205030.

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Vikara, Derek, and Britt A. Holmén. "Ultrafine Particle Number Concentrations from Hybrid Urban Transit Buses." Transportation Research Record: Journal of the Transportation Research Board 1987, no. 1 (2006): 54–61. http://dx.doi.org/10.1177/0361198106198700106.

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Kalaga, Ramachandra Rao, R. N. Datta, and K. Sudhakar Reddy. "Allocation of Buses on Interdependent Regional Bus Transit Routes." Journal of Transportation Engineering 127, no. 3 (2001): 208–14. http://dx.doi.org/10.1061/(asce)0733-947x(2001)127:3(208).

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Lammert, M., R. Barnitt, and R. L. McCormick. "Field Evaluation of Biodiesel (B20) Use by Transit Buses." SAE International Journal of Commercial Vehicles 2, no. 2 (2009): 209–21. http://dx.doi.org/10.4271/2009-01-2899.

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Polzin, Steven. "Trains, Buses, People: An Opinionated Atlas of US Transit." Transport Reviews 39, no. 6 (2019): 820–22. http://dx.doi.org/10.1080/01441647.2019.1568318.

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Leonard, Blaine D., Jamie Mackey, Michael Sheffield, David Bassett, Shawn Larson, and Ivan Hooper. "Demonstrating Transit Schedule Benefits with a Dedicated Short-Range Communication-Based Connected Vehicle System." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 12 (2019): 215–24. http://dx.doi.org/10.1177/0361198119859321.

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A vehicle-to-infrastructure (V2I) connected vehicle system was installed along Redwood Road in Salt Lake City, Utah, United States, in November 2017 using dedicated short-range communication (DSRC) radios to connect transit buses to traffic signals. One of the goals of this system was to improve the schedule reliability of the bus by providing signal priority at traffic signals when the bus is behind its published schedule by a certain threshold. Data for the analysis were obtained from the DSRC communications, the Automated Traffic Signal Performance Measures (ATSPM) system, and the transit o
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An, Shi, Lei Wang, Haiqiang Yang, and Jian Wang. "Discovering Public Transit Riders’ Travel Pattern from GPS Data: A Case Study in Harbin." Journal of Sensors 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/5290795.

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This paper proposes a public transit riders’ travel pattern measuring method based on divided cells and public transit vehicle’s GPS data. The method consists of two parts: detecting urban origin and destination areas and measuring the public transit riders’ travel pattern. Moreover, a series of indicators are proposed to reflect the public transit riders’ travel pattern. A case study is carried out to evaluate the methods, which use the GPS data collected from taxis and buses in Harbin, China. The study is expected to provide a better understanding of public transit riders’ travel patterns.
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Diab, Ehab, Guangnan Feng, and Amer Shalaby. "Breaking into emergency shuttle service: Aspects and impacts of retracting buses from existing scheduled bus services." Canadian Journal of Civil Engineering 45, no. 8 (2018): 647–58. http://dx.doi.org/10.1139/cjce-2017-0294.

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High-quality transit service is a vital aspect of any modern city. When unexpected interruptions to the transit service occur, they reduce the quality of service provided to the public. One of the main strategies that is employed to deal with rail service interruptions is “bus bridging,” whereby buses from scheduled services are deployed to offer shuttle services. Very few efforts are found in the literature that have investigated this policy’s effectiveness. Therefore, this study aims at exploring the different aspects and impacts of retracting buses from scheduled services in response to sub
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Musili, Catherine, and Deborah Salon. "Do Private Transport Services Complement or Compete against Public Transit? Evidence from the Commuter Vans in Eastern Queens, New York." Urban Science 3, no. 1 (2019): 24. http://dx.doi.org/10.3390/urbansci3010024.

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Do private transport services complement or compete against public transit? As transit agencies scramble to adjust to the new transport landscape of mobility services, this has become an important question. This study focuses on New York’s commuter vans (also known as “dollar vans”), private vans that have operated alongside public transit for decades. We use original survey and observational data collected in the summer of 2016 to document basic ridership characteristics and to provide insight into whether the commuter vans complement or compete against city buses. Commuter van ridership in E
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Yang, Fengping, Liqun Peng, Chenhao Wang, and Yuelong Bai. "Measuring temporal and spatial travel efficiency for transit route system using low-frequency bus automatic vehicle location data." Advances in Mechanical Engineering 10, no. 10 (2018): 168781401880212. http://dx.doi.org/10.1177/1687814018802128.

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Although the bus probe data have been widely adopted for examining the transit route efficiency, this application cannot guarantee the accuracy in special temporal and spatial segments due to the inadequate probe samples. This study evaluates the feasibility of automatic vehicle location data as probes for the bus route travel time evaluation. Our techniques explore the minimum requirement of transit automatic vehicle location data to recover the bus trajectories in various spatial–temporal dimensions along the scheduled transit routes. First, a three-dimensional tensor is established to infer
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Disney, John, Will Rossiter, and David J. Smith. "Nottingham Express Transit." International Journal of Entrepreneurship and Innovation 19, no. 1 (2018): 56–68. http://dx.doi.org/10.1177/1465750317750323.

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Traffic congestion at peak times has long been a problem facing cities in the United Kingdom.1 Latterly concern about combating congestion has been hightened by worries over carbon emissions and poor air quality. In tackling these problems, green innovations incorporating new technologies appear to have much to offer, although progress in implementing these sorts of innovation appears to have been slow. This case study analyses the efforts of one city to tackle these problems by pioneering a number of green innovations including the introduction of a light rail system employing trams known as
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Lan-fen, ZHONG, and WANG Wen-zhong. "Mode shift at bottleneck increasing transit dispatch in peak time." MATEC Web of Conferences 308 (2020): 01001. http://dx.doi.org/10.1051/matecconf/202030801001.

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For attracting more auto commuters to shift to transit mode and mitigating congestion at a bottleneck in morning &rush hour, additional dispatches of transit are operated during peak time. Classical bottleneck model combining with Logit-based discrete choice formula is extended to investigate commuters’ mode choice behaviors between private car and public transit. The existence of bi-mode user equilibrium when tolling auto commuter is proofed, and waiting time and time delay costs are formulated in two modes when additional buses are dispatched. Numerical experiments are conducted to exami
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Barraza, Orlando, and Miquel Estrada. "Battery Electric Bus Network: Efficient Design and Cost Comparison of Different Powertrains." Sustainability 13, no. 9 (2021): 4745. http://dx.doi.org/10.3390/su13094745.

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Recent advances in the electromobility of bus fleets improve transit service sustainability but require the development of vehicle recharging facilities. The paper defines a methodology to design an efficient transit network operated by battery electric buses in cities with grid-shaped road network, based on continuous approximations. An analytical model defines the optimal network configuration that minimizes the agency cost, the monetization of emissions and the travel time of transit users. The analytical model allows the comparison of total cost, emissions and bus performance to other fuel
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Arhin, Stephen, Babin Manandhar, and Hamdiat Baba-Adam. "Predicting Travel Times of Bus Transit in Washington, D.C. Using Artificial Neural Networks." Civil Engineering Journal 6, no. 11 (2020): 2245–61. http://dx.doi.org/10.28991/cej-2020-03091615.

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This study aimed to develop travel time prediction models for transit buses to assist decision-makers improve service quality and patronage. Six-months’ worth of Automatic Vehicle Location and Automatic Passenger Counting data for six Washington Metropolitan Area Transit Authority bus routes operating in Washington, DC was used for this study. Artificial Neural Network (ANN) models were developed for predicting travel times of buses for different peak periods. The analysis included variables such as length of route between stops, average dwell time and number of intersections between bus stops
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Liu, Chun Yi, Kuo Tai Tang, and Shrane Koung Chou. "A Study of Smart Bus Dynamic Transit System." Applied Mechanics and Materials 182-183 (June 2012): 2095–99. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.2095.

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As bus passengers often spend substantial amounts of time waiting for buses, many hope for access to real-time transit information to fulfill passenger demands for routes, station location, transit duration, and bus frequency information. This study develops a “Smart Bus Dynamic Transit System” using cellular phones to combine internet, XML documents, GPS positioning and transit path planning models to allow the inquiry of real-time bus and station locations. Users will be able to rapidly obtain knowledge of optimal transit locations and times, as well as estimated arrival times as reflected o
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Purifoye, Gwendolyn Y. "Transporting Urban Inequality through Public Transit Designs & Systems." City & Community 16, no. 4 (2017): 364–68. http://dx.doi.org/10.1111/cico.12266.

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Four large, and often overflowing, dumpsters are situated at one of the more than dozen bus stops at the Chicago Transit Authority's (CTA) Red Line 95th Street/Dan Ryan train station. This station is on the city's far south side and the ridership on the buses that board and disembark there and the train is predominantly minority. On a warm or hot day, the smell of bus engines and dumpster contents fill the waiting areas. One 28–year–old Black male passenger (BMP) noted, as he stood at one of the nearly one dozen (no seating available) bus stops at the station, “In the summer it's really horrib
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