On Travel Time Functions for Mixed Traffic Systems Dominated by Motorcycles

2017 ◽  
pp. 139-150
Author(s):  
Tuan Nam Nguyen ◽  
Gerhard Reinelt
Keyword(s):  
Travel Time ◽  
Mixed Traffic ◽  
Traffic Systems

scholarly journals EVALUATING THE EFFECT OF HEAVY VEHICLES ON TRAFFIC PARAMETERS BY USING HEAVY VEHICLE FACTOR

2018 ◽  
Vol 6 (4) ◽  
pp. 95-104
Author(s):  
Parthkumar Patel ◽  
H.R. Varia
Keyword(s):  
Travel Time ◽  
Traffic Flow ◽  
Road Traffic ◽  
Freight Transport ◽  
Heavy Vehicle ◽  
Mixed Traffic ◽  
Heavy Vehicles ◽  
Highway Traffic ◽  
Ideal Situation ◽  
The Impact

Safe, convenient and timely transportation of goods and passengers is necessary for development of nation. After independence road traffic is increased manifold in India. Modal share of freight transport is shifted from Railway to roadways in India. Road infrastructures continuously increased from past few decades but there is still need for new roads to be build and more than three forth of the roads having mixed traffic plying on it. The impact of freight vehicles on highway traffic is enormous as they are moving with slow speeds. Nature of traffic flow is dependent on various traffic parameters such as speed, density, volume and travel time etc. As per ideal situation these traffic parameters should remain intact, but it is greatly affected by presence of heavy vehicle in mixed traffic due to Svehicles plying on two lane roads. Heavy vehicles affect the traffic flow because of their length and size and acceleration/deceleration characteristics.  This study is aimed to analyse the impact of heavy vehicles on traffic parameters.

Controllability Analysis and Optimal Controller Synthesis of Mixed Traffic Systems

2019 ◽  
Author(s):  
Jiawei Wang ◽  
Yang Zheng ◽  
Qing Xu ◽  
Jianqiang Wang ◽  
Keqiang Li
Keyword(s):  
Controller Synthesis ◽  
Optimal Controller ◽  
Mixed Traffic ◽  
Traffic Systems

Designing Safe and Secure Mixed Traffic Systems

2019 ◽  
Author(s):  
Giedre Sabaliauskaite ◽  
Lin Shen Liew ◽  
Fengjun Zhou ◽  
Jin Cui
Keyword(s):  
Mixed Traffic ◽  
Traffic Systems

scholarly journals Upper Bounds for the Travel Time on Traffic Systems

2014 ◽  
Vol 3 ◽  
pp. 349-358 ◽  
Author(s):  
Nadir Farhi ◽  
Habib Haj-Salem ◽  
Jean-Patrick Lebacque
Keyword(s):  
Travel Time ◽  
Upper Bounds ◽  
Traffic Systems

scholarly journals Intelligent Traffic Management: A Review of Challenges, Solutions, and Future Perspectives

2021 ◽  
Vol 22 (2) ◽  
pp. 163-182
Author(s):  
Roopa Ravish ◽  
Shanta Ranga Swamy
Keyword(s):  
Travel Time ◽  
Intelligent Transportation Systems ◽  
Traffic Management ◽  
Transportation Systems ◽  
Travel Time Prediction ◽  
Novel Technologies ◽  
Related Data ◽  
Traffic Systems ◽  
And Control ◽  
Future Work

Abstract Recent years have witnessed a colossal increase of vehicles on the roads; unfortunately, the infrastructure of roads and traffic systems has not kept pace with this growth, resulting in inefficient traffic management. Owing to this imbalance, traffic jams on roads, congestions, and pollution have shown a marked increase. The management of growing traffic is a major issue across the world. Intelligent Transportation Systems (ITS) have a great potential in offering solutions to such issues by using novel technologies. In this review, the ITS-based solutions for traffic management and control have been categorized as traffic data collection solutions, traffic management solutions, congestion avoidance solutions, and travel time prediction solutions. The solutions have been presented along with their underlying technologies, advantages, and drawbacks. First, important solutions for collecting traffic-related data and road conditions are discussed. Next, ITS solutions for the effective management of traffic are presented. Third, key strategies based on machine learning and computational intelligence for avoiding congestion are outlined. Fourth, important solutions for accurately predicting travel time are presented. Finally, avenues for future work in these areas are discussed.

scholarly journals The Model of the Optimal Number of Public Transport Vehicles in Mixed Traffic Flow Conditions: A Case Study

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Milja M. Simeunović ◽  
Vuk Z. Bogdanović ◽  
Milan M. Simeunović ◽  
Pavle M. Pitka ◽  
Zoran M. Papić ◽  
...  
Keyword(s):  
Travel Time ◽  
Traffic Flow ◽  
Public Transport ◽  
Transport Model ◽  
Optimal Number ◽  
Urban Environments ◽  
Mixed Traffic ◽  
Street Network ◽  
Mixed Traffic Flow ◽  
Flow Parameters

Bus passenger transport is very important for sustainable urban mobility, and due to the characteristics of the street network, it is usually realized in the conditions of mixed traffic flow. Disturbances and sudden changes of traffic flow parameters occurring in the street network in a mixed traffic flow affect the disruptions in schedule and travel time of all vehicles in the traffic flow, including public transport (PT) vehicles. In order to keep to the planned schedule in the peak hours of PT lines carried out in the conditions of mixed traffic flow, the operators introduce new vehicles or reduce the vehicles’ dwell time at terminuses, which is often impossible to do. The use of a larger number of public transport vehicles increases the fuel consumption, pollutants’ emission, and the operating costs. In this paper, a network optimization model was developed for defining the influence of the change of traffic flow parameters in a mixed traffic flow on travel time of PT vehicles. The model takes into consideration uncertain time unevenness of the change of traffic flow parameters, which enables determining the optimization of travel time and defining the necessary number of public transport vehicles for the purpose of keeping to the planned schedule. In order to develop the transport model, counting and analysis of the characteristics of traffic flow at 61 intersections on the city territory were carried out. The model was tested on bus line number 4 of PT in Novi Sad. The model showed that it is possible to achieve certain savings regarding the number of vehicles with the unchanged headway, that is, the unchanged level of service which is offered to the users. With the application of the model in real traffic conditions, significant savings, as well as operating and external costs’ reduction, can be achieved, which contributes to the sustainability of public bus transport in urban environments.

scholarly journals Calibration of Micro-Simulation Model Parameters for Heterogeneous Traffic using Mode-Specific Performance Measure

2020 ◽  
Vol 2674 (1) ◽  
pp. 135-147 ◽  
Author(s):  
Kinjal Bhattacharyya ◽  
Bhargab Maitra ◽  
Manfred Boltze
Keyword(s):  
Travel Time ◽  
Simulation Models ◽  
Performance Measure ◽  
Heterogeneous Traffic ◽  
Model Parameters ◽  
Mixed Traffic ◽  
Traffic Operations ◽  
Complex Interactions ◽  
Micro Simulation ◽  
Kolmogorov Smirnov

Calibration is an essential prerequisite to scenario evaluations using traffic micro-simulation models (TMMs). In the context of mixed-traffic operations, where different fast and slow moving vehicular modes form a heterogeneous environment, a well-calibrated model needs to give adequate importance to each mode to realistically replicate the complex interactions in the traffic stream. This paper presents a methodology for calibrating TMMs for such mixed-traffic conditions. A combination of vehicle mode-specific travel time distributions is adopted as the performance measure for the calibration. To aid practitioners, each step of the methodology is demonstrated using a VISSIM simulator considering a signalized corridor in the Kolkata metro city, India. The work includes genetic algorithm (GA)-based optimization for obtaining mode-specific parameter sets. The Kolmogorov-Smirnov test is carried out to compare the travel time distributions of different modes. The calibrated model is also validated considering several signalized approaches along the calibrated study corridor. The results show that the methodology is successful in developing a model for non-lane based mixed-traffic operations with vehicle mode-specific optimized parameter sets.

scholarly journals Optimal Skip-Stop Schedule under Mixed Traffic Conditions for Minimizing Travel Time of Passengers

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Sun Feng ◽  
Zhu Wen-tao ◽  
Ye Ying ◽  
Wang Dian-hai
Keyword(s):  
Travel Time ◽  
Operating Efficiency ◽  
Mixed Traffic ◽  
Optimization Scheme ◽  
Lower Efficiency ◽  
The Road ◽  
Traffic Conditions ◽  
Total Travel Time ◽  
Optimal Coordination ◽  
Urban Bus

Given the lower efficiency resulting from the overload of bus stops, the capacity and travel time of passengers influenced by skip-stop operation are analyzed under mixed traffic conditions, and the travel time models of buses and cars are developed, respectively. This paper proposes an optimization model for designing skip-stop service that can minimize the total travel time for passengers. Genetic algorithm is adopted for finding the optimal coordination of the stopping stations of overall bus lines in an urban bus corridor. In this paper, Tian-Mu-Shan Road of Hangzhou City is taken as an example. Results show that the total travel time of all travelers becomes 7.03 percent shorter after the implementation of skip-stop operation. The optimization scheme can improve the operating efficiency of the road examined.

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