首页> 外文期刊>Arid Zone Journal of Engineering, Technology and Environment >Prediction of Bus Travel Time on Urban Routes without Designated Bus Stops in Makurdi Town, Benue State, Nigeria
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Prediction of Bus Travel Time on Urban Routes without Designated Bus Stops in Makurdi Town, Benue State, Nigeria

机译:在没有指定巴士站的城市航线上预测在没有指定的巴士尔迪镇,尼日利亚州的公共汽车站

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The lack of information on bus travel time in Makurdi town to enable trip makers plan for journeys is seen as a challenge in recent times. This study developed a multiple linear regression model for predicting bus travel time along bus routes in Makurdi town. Specifically, the study assessed bus travel time on routes without designated bus stops, examined geometric features of bus routes, assessed bus dwell time and travel speeds in a heterogeneous traffic stream on routes in Makurdi town. It developed and validated a model for the bus travel time. Field survey focused on the major bus routes in Makurdi town which included; High Level roundabout to School of Remedial Studies junction (HL-SRS), High Level roundabout to Federal Medical Centre junction (HL–FMC), Wurukum roundabout to Coca Cola Complex (W-CCC) and Wurukum roundabout to Welfare Quarters junction (W–WQ). Independent parameters examined on the sites for model development included; bus route length, bus travel speed, average dwell time at random stops for pick-up and alighting of passengers, bus headway, the total number of cross and Tee intersections along the bus route, volume of motorcycles, private cars and trucks in the traffic stream, while the dependent variable was bus travel time. Based on the built model, 15 minutes approximately was established as the average bus travel time for all bus routes in Makurdi town assuming all other variables have zero magnitude. Goodness of fit test of the model yielded significant value for coefficient of determination (R2 = 0.952) and the use of Artificial Neural Network (ANN) method for validating the model also confirmed it accuracy at 93% approximately. It was therefore concluded that, bus travel time on major routes in Makurdi town could be accurately estimated using the built multiple linear regression model provided all essential input parameters of the model are used. The establishment of designated bus stops along bus routes within Makurdi town to minimise bus dwell frequency and for accurate estimation of bus travel time, as well as erection of travel information bill boards along bus routes stating average bus travel time to inform commuters that have high value of travel time were recommended.
机译:缺乏关于Makurdi Town的公共汽车旅行时间的信息,以实现旅行制造商的旅程计划被视为最近的挑战。本研究开发了一种多种线性回归模型,用于预测沿马卡尔迪镇的公交线路的总线旅行时间。具体而言,该研究评估了在没有指定的公交车站的路线上进行的公共汽车旅行时间,检查了公交路线的几何特征,在Makurdi镇的路线上进行了异构交通流量中的公交车站停留时间和旅行速度。它开发并验证了公共汽车旅行时间的型号。现场调查专注于包括的马克迪镇的主要公交线路;高级环形交叉路交叉路口(HL-SRS),高水平环形交叉路口(HL-FMC),Wurukum环形交通枢纽(W-CCC)和Wurukum环形交叉路口到福利宿舍交叉口(W- WQ)。在网站上检查的独立参数包括模型开发;公交线路长度,巴士旅行速度,随机停留的平均停留时间乘客的乘客,总线通道,沿着公交线路,摩托车数量,私人汽车和卡车的交叉口总数。流,而受抚养变量是总线旅行时间。基于内置型号,建立了15分钟,作为Makurdi城镇所有公交线路的平均总线旅行时间,假设所有其他变量具有零幅度。该模型的拟合试验的良好产生的测定系数的显着值(R2 = 0.952),并且使用人工神经网络(ANN)用于验证模型的方法也将其精度达到93%。因此,得出的结论是,可以使用内置的多个线性回归模型准确地估计Makurdi Town中的主要路线的公交车程时间,所以提供了模型的所有基本输入参数。在Makurdi Town内的公交路线中建立指定的公交车站,以尽量减少总线停留频率和准确估算巴士旅行时间,以及沿着公交线路的旅行信息账单板竖立,详细介绍平均公共汽车旅行时间,以通知通勤者具有高价值的通勤者建议旅行时间。

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