Abstract
In order to promote travel safety and efficiency, many management staff are engaged to provide service to avoid long queues. Those manpower demands unavoidably introduce overstaffing, which is a great waste during off-peak period. However, it is not easy to precisely forecast the traffic flow to better arrange road management manpower and eliminate queuing phenomenon. In this paper, vehicle flow is first predicted with high accuracy based on the historical multi-source traffic data. The traffic data are collected for one month to establish a forecasting model. The forecasted traffic flow is tested on the following week and shows that the hourly traffic flow can be predicted in high accuracy. Improved manpower planning strategy is proposed based on the predicted results for arranging working schedule correspondingly. The proposed method is tested on a randomly selected toll gate in a real scenario as an example. A manpower planning strategy is verified with scheduled number of operating toll lanes. The improved manpower planning shows that the proposed method effectively reduces manpower by 40% at the toll gate and saves 67.5 working hours in one week compared with the current schedule. The successful application of the manpower planning method can be extended to other toll gates and service plazas to save manpower for more efficient and intelligent operation manner.
Highlights
An increase in people’s traveling demand has made the freeway an ideal carrier for efficient travel
WORK This study aims to provide an integrated model consists of traffic demand analysis and manpower planning to solve the manpower redundancy on freeway management
Traffic flow is predicted with the deep learning-based approach to analyse hourly traffic demands
Summary
An increase in people’s traveling demand has made the freeway an ideal carrier for efficient travel. In China, freeway toll collection systems and service plazas have been fully established, recruiting large staff to engage in traffic management, road maintenance, toll collection, cleaning, fueling, catering and other services in related areas. Both road users and administrators expect to promote its efficiency, e.g. to reduce queuing time. The queuing phenomenon at toll gates and service areas during peak hours coupled with the saturated-arranged manpower during off-peak hours are undoubtedly huge obstacles to the efficient and low-cost operation of freeways. It entails an intelligent manpower planning strategy to simultaneously ensure the efficiency of freeway transportation management and the satisfaction of road users, so that a nation’s economy and infrastructure construction could have the potential to prosper [1]
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