Siva Sivananthan

2papers

2 Papers

SPAug 2, 2018
Estimating Passenger Loading on Train Cars Using Accelerometer

Saurav R Tuladhar, Peter Khomchuk, Siva Sivananthan

Crowding on train cars is a common problem plaguing the major public transit agencies around the world. On one hand a crowded train car presents a negative experience for the passengers, while on the other hand it indicated inefficiencies in the train system. The Federal Transit Agency is interested in reducing the crowding level on public transit train cars. Automatic passenger counters (APC) are commonly used to count the passengers boarding and alighting the train cars. Advanced APC solutions are available based on EO/IR sensors and visual object detection technology, but are considerably expensive for large scale deployment. This report discusses a low-cost approach to APC by using accelerometer measurements from train car to estimate approximate passenger loading. Accelerometer sensor can measure train car vibration as the train moves along the rail tracks. The train car vibration changes with the passenger loading on the car. Detecting this change in vibration pattern with changing passenger loading level is key to the accelerometer based APC solution. Moreover, accelerometer sensors present a low-cost APC solution compared to existing EO/IR based APCs. This work presents a (i) theoretical model analysis (ii) experimental data driven approach to demonstrate the feasibility of using accelerometer for passenger loading estimation.

SPAug 1, 2018
Predicting passenger loading level on a train car: A Bayesian approach

Peter Khomchuk, Saurav R Tuladhar, Siva Sivananthan

Crowding in train cars is increasingly a major concern for transit agencies. From the perspective of the passengers and the transit agencies, overcrowding of the train cars has several negative consequences such as: (i) extended duration of passengers boarding and alighting which leads to longer dwell times, (ii) subsequent disruption of the headway and the schedule, and (iii) passenger dissatisfaction (e.g. increased stress and lack of privacy). Moreover, overcrowding during peak service hours also indicates inadequate infrastructure to meet the passenger demands. Realizing the importance of the crowding issue, transit agencies have developed measures to assess the crowding levels. The Transit Capacity and Quality of Service Manual provides guidelines on thresholds for crowding in transit systems in the United States.