PERFORMANCE ANALYSIS OF AN URBAN BUS AND METRO ROUTE

Abstract

In metropolitan city like Delhi the rapid growth of urban population has put enormous strains on all transport systems. Burgeoning travel demand which far exceeds the limited supply of transport infrastructure and services. The rising population, unprecedented growth of personal vehicles and extreme traffic congestion are some of the key problems of transport network. As a result, the public transport situation in most of the metropolitan cities is rapidly deteriorating, therefore there is a need to conduct a comprehensive study for accurate measurement of the level of service (LOS) measures such as travel time, waiting time and transfer times and cost components for different travel modes at particular origin and destination. Delhi has been taken as study area to measure the performance analysis of the bus and multimodal transit route. The main objective of this work is to measure the performance of direct route and multimodal route in terms travel time, travel cost, transfer time, waiting time and line haul time. - For this analysis, data was collected as commuter travel survey and traffic data. The commuter travel survey questionnaires (i) Personal Information of the passenger (Gender, Age, Income, Purpose of Trip). (ii) Travel Information of the passenger (Access time, Egress time. Transfer's Time and Wait time at each switch point, In-vehicle travel time). (iii) Passenger Satisfaction Measures in terms of speed, cost, comfort, reliability and transfer. Transit network related data, traffic volume, vehicle composition, vehicle speeds, signal timings and width of road varying along the network. From the modal split models some performance measures were used to analyse the performance of bus and metro transit system. Such measures as Relative Travel Time (RTT), Relative Travel Cost (RTC), Relative Travel Service (RTS), Inter Connectivity Ratio, Passenger Waiting Index (PWI), and Running Index (RI). Relative Travel Time (RTT) is the ratio of out vehicle travel time of metro route to out vehicle travel time of bus route (OVTT (metro) /OVTT (bus)). The average relative travel time is 0.827 as it varies between the ranges 0.547 to 0.982. Passenger choice depends upon the relative travel service ratio, if larger the ratio, the less attractive the route becomes as an alternative. Interconnectivity ratio (ratio of access & egress time to total trip time) for two alternative combinations such as Mixed-Metro-Mixed, Walk-Bus-Walk has been observed. The word VISSIM is derived from 'Verkehr In Stadten - Simulation model" (German for "Traffic in cities - simulation model"). It is a microscopic simulation program it can be used to analyze the private and public transport operations under constraints such as lane configuration, vehicle composition, traffic signals, PT stops, etc., thus making it a useful tool for the evaluation of various alternatives based on transportation engineering and planning measures of effectiveness. Pedestrian flows can also be modelled, either exclusively or combined with private traffic and/or public transport. In this study VISSIM (simulation modal) software were used simulate the bus and metro travel times, pedestrian transfer times and waiting times at varies transit stops for selected network, and analyse the travel times and delays at various segments in the network. From the commuter travel survey questionnaires and simulated travel time elements, some (OVTT, IVTT, cost, reliability, comfort age and gender) variables were used to define the utility of the two alternative route choices and construct the discrete choice (multinomial logit) model, and the - choice probability of the alternative routes were analyzed for both equations. In route choice model utility coefficients were developed by using N Logit Econometric software. According to the output results, we found in-vehicle time, out-vehicle time, cost, age of each individual and reliability were the essential factors that have a significant impact on the choice behavior. These results are useful to evaluate the efficiency and effectiveness of urban bus service and multimodal transit service.