Optimal Locations of Bus Stops Connecting Subways near Urban Intersections

Cui, Yuan; Chen, Shaokuan; Liu, Jianfeng; Jia, Wenzheng

doi:10.1155/2015/537049

Cited by 3 publications

(6 citation statements)

References 18 publications

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“…Equation (12) shows the travel time of the BRT vehicle from intersection 𝑖 − 1 to intersection 𝑖. 𝑈 𝑖−1,𝑖,𝑑 is equal to the sum of the dwell time of the BRT vehicle at stops and the arterial travel time.…”

Section: (Ii) Brt Delay At the Starting Intersectionmentioning

confidence: 99%

“…Taking the starting intersection in direction 𝑑 as the reference intersection, the absolute offset of intersection 𝑖 in direction 𝑑 can be expressed as: Equation (12) shows the travel time of the BRT vehicle from intersection i − 1 to intersection i. U i−1,i,d is equal to the sum of the dwell time of the BRT vehicle at stops and the arterial travel time.…”

Section: (Ii) Brt Delay At the Starting Intersectionmentioning

confidence: 99%

“…In recent years, scholars have conducted extensive studies on the location planning of bus stops [9], mainly bus stop location optimization [10][11][12][13][14][15][16] and stop-spacing optimization [17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

“…In terms of bus stop location optimization, the impact of setting bus stops at the entrance or exit lanes of intersections on bus delays has been analyzed by Cvitanic et al [10] and Diab et al [11], who evaluated the impact of bus stop location on bus stop time. Cui et al [12] constructed a multi-objective optimization model to distribute bus stop locations based on the shortest total walk distance of passengers and the minimum delay time of cars and the travel time of buses. Other scholars have associated bus-stop location optimization with vehicle delay [13,14].…”

Section: Introductionmentioning

confidence: 99%

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Offset Optimization Model for Signalized Intersections Considering the Optimal Location Planning of Bus Stops

Luo

Shi

2023

Systems

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Existing offset optimization methods for signalized intersections are mainly focused on regular traffic flow, which cannot accommodate cars and public transit (e.g., Bus Rapid Transit (BRT)) simultaneously. This study proposes a delay prediction model to formulate the signal delay of BRT at intersections. The relation among the green wave bandwidth, signal timing plans, speed of the BRT vehicles, distance between the intersections, and the offset is also modeled. A combinatorial optimization model is then established, which takes the location planning of BRT stops and the offset of intersections at both directions along the artery as the decision variables. The proposed model is programmed with Mathematical Programming Language (AMPL) and solved efficiently by the Gurobi solver. The proposed optimization method is compared with seven different methods. The results show that the average BRT travel time is reduced by at least 19% and the green wave bandwidth is increased by around 30.2%. The importance of considering location planning of BRT stops when optimizing the offset is thereby verified.

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Section: (Ii) Brt Delay At the Starting Intersectionmentioning

confidence: 99%

Section: (Ii) Brt Delay At the Starting Intersectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Offset Optimization Model for Signalized Intersections Considering the Optimal Location Planning of Bus Stops

Luo

Shi

2023

Systems

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“…Optimization of road infrastructure for public transport is an urgent scientific and practical task. Models of traffic on a road near a bus stop and methods of its placement were considered in the works [26][27][28][29][30][31][32]. For example, in [33], of the four types of bus stop considered, one of them includes the presence of an entrance pocket outside the traffic lane.…”

Section: Introductionmentioning

confidence: 99%

Influence of the Parameters of the Bus Lane and the Bus Stop on the Delays of Private and Public Transport

Fadyushin

Zakharov

2020

Sustainability

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The article deals with the influence of the infrastructure for public transport on the delay time of private and public transport in the city. The study employed the methods of simulation, mathematical modeling and field research. Imitation microscopic modeling determined the parameters of mathematical models of the delay time of private and public transport for various parameters of the bus lane, the length of the bus stop loading area, and its distance from the signalized intersection. Calculations determined the total delay time, taking into account the number of passengers in public and private transport on the section of the main street of regulated traffic. Determining the optimum parameters of the public transport infrastructure requires considering not only public transport passengers, but also drivers and passengers of private vehicles. Over-improving parameters of the bus lane has no effect on public transport, but traffic parameters for all other road users degrade. At high traffic intensity, the dependences of the total delay time on the length of the marking lines 1.11 and 1.5 are described by the parabola equation. The values for a road with three lanes have been determined, marking lines 1.11 and 1.5 at which the total delay time is minimal. For a highway with a high intensity, minimum bus stop parameters lead to significant increases in delay time.

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