Does Operation Scheduling Make a Difference: Tapping the Potential of Optimized Design for Skipping-Stop Strategy in Reducing Bus Emissions

Chen, Xumei; Han, Xiaomi; Yu, Lei; Wei, Changhai

doi:10.3390/su9101737

Cited by 10 publications

(12 citation statements)

References 16 publications

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“…The results show that most of the publications ( Figure 2) are journal articles (44) and conference proceeding papers (14), followed by dissertations (4), chaptered books (3), reports (2), technical paper (1), and working paper (1) In this period, BEBs and FCEBs were still considered as technology infants, i.e. in early Technology Readiness Level ( Figure 5), and only the concepts hit the market.…”

Section: Summary Of Studiesmentioning

confidence: 99%

“…Even though these numbers stress out the social and economic impact, transit agencies need to evolve beyond the environmental impact [3,4] and move towards the concept of integrated sustainability [5]. Hence, the fleet managers should no longer be solely responsible for routing and scheduling problems; on the contrary, they must rely on performance associated with fuel economy [6], availability [7][8][9], operational efficiency [10,11], life cycle management [12], and pollution [13,14] -highlighting the complexity of decision-making in the BFM domain. The term Bus Fleet Management started appearing during the 1970s where Hauslen [15], and later Roth [16], discussed the benefits of AVM (Automated Vehicle Monitoring) to resolve the issues of "bunching" (simultaneous arrival of buses).…”

Section: Introductionmentioning

confidence: 99%

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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: Summary Of Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Bus Fleet Management – A Systematic Literature Review

Orošnjak

Jocanović

Gvozdenac-Urošević

et al. 2020

PROMET

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“…Huang et al [4] proposed a skip-stop pattern optimization method for both directions of a bus service with an A/B skip-stop strategy and applied a heuristic genetic algorithm to solve the problem and minimize the average passenger travel time. Chen et al [5] formulated a bus scheduling problem aiming to minimize the total costs for the both passengers and operating agencies, as well as to reduce the bus emissions. Regarding URT systems, Vuchic [1], [6], [7] provided many guidelines for the distribution of A, B and AB stations and the effects of skip-stop operation, such as having as few consecutive A-B station pairs as possible to minimize the number of trips that need to be traveled in reverse.…”

Section: Literature Review a A/b Skip-stop Servicementioning

confidence: 99%

“…(6), the total travel time in case 1, T case1 ij , can be calculated as follows: indicate the waiting time and in-vehicle time for the first-arriving train k in case b for trips from station i to station j, respectively; h AB d,i and h BA d,i can be deduced with Eqs. (4) and (5).…”

Section: D: Probability Of the First-arriving Train Kmentioning

confidence: 99%

Train Scheduling for Minimizing the Total Travel Time With a Skip-Stop Operation in Urban Rail Transit

et al. 2019

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The skip-stop operating mode for urban rail transit systems defines three types of stations: A, B, and AB stations. In this strategy, all the trains stop at AB stations, and A (B) trains stop at only A (B) stations. Skipping some stops can increase the operating speed, which leads to direct benefits by reducing the in-vehicle time for passengers and improving the operational efficiency for operators. With the skip-stop mode, passengers have to transfer at an AB station when the trains they take do not stop at their destination, and the extra transfer waiting time depends on the AB station distribution and the corresponding headways. In this paper, we develop a train scheduling optimization model to minimize the total passenger travel time so that passengers can get to their destinations faster without experiencing excessive transfer waiting times. A two-phase approach based on a genetic algorithm is developed to solve this mixed-integer nonlinear problem. Finally, the proposed train scheduling optimization model is applied to an idealized corridor and a real-world scenario based on Line 6 of the Beijing URT network. An analysis of the type of scenarios in which skip-stop operations are applicable and the efficiency of different types of trips is presented. The results show that a short headway (below 5-6 min) is favorable for a skip-stop operation and there needs to be at least one AB station for every five stations. The average travel time per passenger can be reduced by more than 1 min for the Beijing scenario under the optimized skip-stop operation.INDEX TERMS Urban rail transit (URT), skip-stop, schedule optimization, travel time, genetic algorithm (GA).

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“…The results showed that the proposed scheduling strategy outperformed the other operating strategy with respect to operational costs and bus emissions. A sensitivity study investigated the impact of the fleet size in operations and passenger demand on the effectiveness of the proposed stop-skipping strategy in consideration of bus emissions [29]. Chen et al established a bus route headway allocation model by considering the influence of three uncertainties on the bus route headway: passenger demand elasticity, the randomness of bus travel time between bus stops, and the abandoned passengers flow.…”

Section: Introductionmentioning

confidence: 99%

Combinational Scheduling Model Considering Multiple Vehicle Sizes

Gong

2019

Sustainability

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Urban public transport is an effective way to solve urban traffic problems and promote sustainable development of urban traffic. A scientific operation scheduling system has an important guiding significance for optimizing the configuration of urban public transport capacity resources, improving the level of operation organization and management, and providing for the sustainability of the transportation system. According to the inhomogeneous distribution of passenger flow along transit lines, this study develops a combinational scheduling model in which the enterprise supplies zonal service based on regular service. The objective function minimizes the sum of passenger travel cost and operation cost, and the simulated annealing algorithm is designed to solve the optimization model. This paper abstracts an ideal example by taking a real-world case of Bus Line 131 in Lanzhou, China. The numerical example is used to verify the validity of the model and algorithm. Results show that the combinational operation scheme can effectively satisfy passengers’ demand and reduce the total cost by 7.03% in comparison with the regular operation system. The optimal combinational system with the lowest total cost can increase the vehicle load factor and improve the utilization ratio.

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Does Operation Scheduling Make a Difference: Tapping the Potential of Optimized Design for Skipping-Stop Strategy in Reducing Bus Emissions

Cited by 10 publications

References 16 publications

Bus Fleet Management – A Systematic Literature Review

Bus Fleet Management – A Systematic Literature Review

Train Scheduling for Minimizing the Total Travel Time With a Skip-Stop Operation in Urban Rail Transit

Combinational Scheduling Model Considering Multiple Vehicle Sizes

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