Modeling arterial signal coordination for bus priority using mobile phone GPS data

Lai, Yuanwen; Xu, Xinying; Easa, Said M.; Lian, Peikun

doi:10.1139/cjce-2018-0601

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…GPS and WIFI positioning have the highest accuracy, but the implementation is complex and costly. The MR fingerprint algorithm has high accuracy, simple implementation, low cost, and a large positioning range [14]. So, in this study, the MR fingerprint algorithm was used to construct a localization model for the localization problem of home broadband business users.…”

Section: Research On the Demand Determination Methods And Precision M...mentioning

confidence: 99%

Research on User Demand Determination Method and Marketing Strategy for Home Broadband Business Based on Data Mining

Yang¹

2023

Preprint

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With the increasing demand for internet access, operators have launched home broadband business marketing activities targeting home users. However, due to the serious homogenization of products in the market and the unreasonable design of marketing plans, the related marketing work has certain difficulties. To address the above issues, this study first utilized MR fingerprint algorithm to construct a positioning model to confirm the location of household users. Then, by designing demand recognition indicators and using decision arithmetic to construct a demand model, the user’s needs and preferences were extracted to form a multi-dimensional user profile. Finally, precise marketing strategies were developed in the form of gifts based on the user’s location and personal needs. It is verified that the MR localization model has a recall rate of 95.2% and an accuracy rate of 96.2%. The on-demand model has a coverage rate of 83.8%, an accuracy rate of 96.3%, and a model accuracy of 89.7%. The proposed precision marketing strategy can achieve a success rate of 13.3% for cross network customers and 31.3% for marketing, and the failure rate of precision marketing strategy is lower than that of traditional marketing strategy among different reasons for marketing failure. Therefore, the MR positioning model proposed in the article has certain application value, and the developed precise marketing strategy has good marketing effects.

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Section: Research On the Demand Determination Methods And Precision M...mentioning

confidence: 99%

Research on User Demand Determination Method and Marketing Strategy for Home Broadband Business Based on Data Mining

Yang¹

2023

Preprint

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“…e bus service time and the average number of passengers on each bus also follow normal distribution. e bus service time S ∼ N (20,15) [41] and the number of passengers G ∼ N (20,10). e incoming bus fleets are generated at the upstream stops of 340 m and 400 m with the same probability.…”

Section: Experimental Settingsmentioning

confidence: 99%

“…Another research direction is to improve the efficiency of bus systems. Lots of studies have investigated signal timings at intersections along bus lines such as bus signal coordination [9][10][11]. Due to the connected vehicle environment, bus information (e.g., bus service time [12] and travel time [13]) can be collected in real time for signal timings and control strategies can be sent to buses for trajectory control [8].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Bus Scheduling and Bus-Berth Matching at Curbside Stops under Connected Vehicle Environment

2022

Journal of Advanced Transportation

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It is commonly seen that buses are blocked by the ones in front serving passengers and have to queue outside a curbside bus stop although there are vacant berths at the stop. The resultant bus delays degrade the service level of urban public transportation. A potential solution is to reschedule the arrivals of the buses at the stop for full utilization of the berths with the aid of connected vehicle technologies. This study proposes a mixed-integer linear programming model to optimize the scheduling of bus arrivals and the bus-berth matching at a curbside stop under the connected vehicle environment. The objective is the minimization of the bus delays weighted by the number of passengers on the buses. Bus arrival times at the stop and the assignment of berths are optimized together with bus departure times from the stop. Bus punctuality is also taken into consideration. The proposed model could be applied dynamically to cater to time-varying traffic conditions. Numerical studies validate the advantages of the proposed model over the “first-come-first-service” strategy and the relaxed model without bus punctuality in terms of weighted bus delays and bus punctuality. Sensitivity analyses show that (1) the proposed model is robust to the fluctuation of bus service time and (2) a smaller number of berths may be preferred on the condition that the bus demand does not exceed the stop capacity.

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A review of research on public transport priority based on CiteSpace

Cheng,

Liu,

Pei

2023

Journal of Traffic and Transportation Engineering (English Edit

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Modeling arterial signal coordination for bus priority using mobile phone GPS data

Cited by 3 publications

References 9 publications

Research on User Demand Determination Method and Marketing Strategy for Home Broadband Business Based on Data Mining

Research on User Demand Determination Method and Marketing Strategy for Home Broadband Business Based on Data Mining

Optimization of Bus Scheduling and Bus-Berth Matching at Curbside Stops under Connected Vehicle Environment

A review of research on public transport priority based on CiteSpace

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