Hybrid Method for Bus Network Design with High Seasonal Demand Variation

Amiripour, S M Mahdi; Ceder, Avishai; Mohaymany, Afshin Shariat

doi:10.1061/(asce)te.1943-5436.0000669

Cited by 24 publications

(9 citation statements)

References 31 publications

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“…The shorter bus route will lead to a decrease in the cost of capital and the longer one will provide a more accessible service for passengers. Due to the impact of bus route length on the cost of capital and accessibility, some researchers have used this criterion in designing urban bus routes (Cipriani et al 2012;Amiripour et al 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

Urban Bus Fleet Routing in Transportation Network Equipped With Park-and-Ride: A Case Study of Babol, Iran

2017

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Recently, most cities have tried to connect park-and-ride facilities with public transit vehicles. The present study aims to design urban bus routes in the transportation network equipped with park-and-ride. Seven important factors which affect the design of urban bus network are identified through the literature review. These factors include demand coverage, route directness, passengers’ satisfaction, minimum length of bus route, budget, use of existing bus routes and number of lines. In this article, by use of the mentioned factors, a new model is developed to determine the urban bus routes. The new model figures the routes with park-and-ride as origin and Central Business District (CBD) as destination, in such a manner that the covered demand is maximized. Our novel method is more effective than other options currently available. In fact, it uses the most important factors in designing urban bus routes. Furthermore, an efficient Genetic Algorithm (GA) based approach is represented to solve large-scale problems. Numerical results show the effectiveness of this approach. At last, the developed model is applied to design the urban bus routes in the transportation network of Babol (Iran).

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Section: Literature Reviewmentioning

confidence: 99%

Urban Bus Fleet Routing in Transportation Network Equipped With Park-and-Ride: A Case Study of Babol, Iran

2017

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“…In the bus scheduling station, the dispatchers are unable to obtain information on the realtime passenger flow. As a consequence, many problems arise, such as personal judgment subjectivity in attendance and the headway not being rational to the bus line [5,6]. erefore, overcrowding of passengers often occurs.…”

Section: Introductionmentioning

confidence: 99%

Expression and Validation of Online Bus Headways considering Passenger Crowding

Yan

Zhou

Zhao³

2021

Journal of Advanced Transportation

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Passenger crowding in a city bus is uneven and the most crowded area always appears in the wheelbase of the carriage. The present study aimed to provide a sensitive indicator of the most crowded area to schedule bus headways online using a binocular camera sensor. The algorithm of standee density in the wheelbase area (SDWA) was given by a nonlinear regression model considering standees’ preferences for the standing area, and its goodness of fit and continuity were tested. Considering the characteristics of city bus operation, the proportion of the number of interstops determined from the SDWA was used as a judgment index for passenger crowding. Based on the SDWA algorithm and the judgment index, an online headway model of city buses was proposed, and the feasibility of such a model was verified through a case study in Xi’an city. The proposed model might be beneficial to bus scheduling, seating provision, and bus design.

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“…Post-optimization techniques by Baaj and Mahmassani (1995), Petrelli (2004), Cipriani et al (2005), Wu (2011), andAmiripour et al (2014a) have been exploited to refine generated routes by GAs while other studies improved GA computational performance using problem decomposition strategies (Walteros et al, 2013) or parallel computing (Agrawal and Mathew, 2004;Cipriani et al, 2012). Differential Evolution (DE), a variant of GAs originally designed for continuous search spaces, has been also applied to the TRNDP by Buba and Lee (2016;, while a Stochastic Beam Search (SBS) algorithm was recently proposed by Islam et al (2019).…”

Section: Evolutionary Algorithmsmentioning

confidence: 99%

“…In studies by Bagloee and Ceder (2011), Afandizadeh et al (2013), Amiripour et al (2014a;2014b;2014c) binary vectors were employed, yet under a different, decoding-free context: binary vectors were used to indicate whether a route is included in the route network.…”

Section: Representationmentioning

confidence: 99%

“…The initial pool of candidate routes is often generated by shortest path or k-shortest path feasible routes between origins and destinations (Afandizadeh et al, 2013;Amiripour et al, 2014a;2014b;2014c;Chew and Lee, 2012;Fan and Machemehl, 2006a;Pattnaik et al, 1998;Xu et al, 2014). Mauttone and Urquhart ( 2009), developed a procedure, in which shortest paths were constructed and subsequently extended by performing minimum cost insertions, (i.e.…”

Section: Initializationmentioning

confidence: 99%

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Optimal design for urban transit systems

Ηλιοπούλου¹

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Οι δυσμενείς επιπτώσεις των ορυκτών καυσίμων στο περιβάλλον και τη δημόσια υγεία επιτάσσουν την προσαρμογή των σύγχρονων συγκοινωνιακών δικτύων στα πρότυπα της βιώσιμης ανάπτυξης. Προς αυτή την κατεύθυνση καθοριστικό ρόλο διαδραματίζει ο σχεδιασμός των συστημάτων αστικών συγκοινωνιών με άξονες τη μείωση των περιβαλλοντικών επιπτώσεων και παράλληλα, την αύξηση της δημοτικότητας και οικονομικής βιωσιμότητάς τους. Παράλληλα, οι πρόσφατες εξελίξεις στις τεχνολογίες επικοινωνίας, συλλογής δεδομένων και ασύρματης μεταφοράς ενέργειας συνθέτουν μια νέα πραγματικότητα για τις αστικές συγκοινωνίες, δημιουργώντας την ανάγκη για νέα συστήματα υποστήριξης αποφάσεων. Στο πλαίσιο αυτό, το αντικείμενο της παρούσας διατριβής είναι η ανάπτυξη ενός μεθοδολογικού πλαισίου βασισμένου σε αλγορίθμους τεχνητής νοημοσύνης και επιστήμης δεδομένων για τον σχεδιασμό συστημάτων αστικών συγκοινωνιών αξιοποιώντας τις πρόσφατες εξελίξεις στις τεχνολογίες μεταφοράς ηλεκτρικής ενέργειας και στα Ευφυή Συστήματα Μεταφοράς. Ειδικούς στόχους της διατριβής αποτελούν: α). η ανάπτυξη ενός ολοκληρωμένου μοντέλου σχεδιασμού για ένα δίκτυο αστικών συγκοινωνιών με αποκλειστική χρήση στόλου ηλεκτρικών λεωφορείων υπό διαφορετικές διαμορφώσεις υποδομής φόρτισης, β). η ανάπτυξη ενός πλαισίου για τη βελτίωση του σχεδιασμού των αστικών συγκοινωνιών με επίκεντρο το πρόβλημα του συνωστισμού λεωφορείων (bus bunching) και γ). η ανάπτυξη κατάλληλων εργαλείων και μεθόδων εκμετάλλευσης των δεδομένων αυτόματου εντοπισμού θέσης (AVL). Το προτεινόμενο μεθοδολογικό πλαίσιο εφαρμόζεται σε δίκτυα αναφοράς από την διεθνή βιβλιογραφία και δεδομένα από το Σύστημα Συγκοινωνιών της Αθήνας, αντίστοιχα.

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Hybrid Method for Bus Network Design with High Seasonal Demand Variation

Cited by 24 publications

References 31 publications

Urban Bus Fleet Routing in Transportation Network Equipped With Park-and-Ride: A Case Study of Babol, Iran

Urban Bus Fleet Routing in Transportation Network Equipped With Park-and-Ride: A Case Study of Babol, Iran

Expression and Validation of Online Bus Headways considering Passenger Crowding

Optimal design for urban transit systems

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