Analysis of Pedestrian Movement on Delhi Roads by Using Naturalistic Observation Techniques

2017 ◽  
Vol 2634 (1) ◽  
pp. 95-100 ◽  
Author(s):  
Abhaya Jha ◽  
Geetam Tiwari ◽  
Dinesh Mohan ◽  
Sudipto Mukherjee ◽  
Subhashish Banerjee
Keyword(s):  
Rural Areas ◽  
Road Traffic ◽  
Pedestrian Behavior ◽  
Road Traffic Crashes ◽  
Large Cities ◽  
The Road ◽  
Road Space ◽  
On The Road ◽  
Pedestrian Crossing ◽  
Indian Cities

Pedestrian fatalities constitute about 30% of the deaths caused by road traffic crashes in India. The proportion of pedestrian fatalities in large cities (Delhi, Mumbai, etc.) varies from 50% to 60% and is about 20% to 30% on national and state highways. Pedestrians are present on all road categories in urban as well as rural areas. At least 20% to 40% of work trips are taken as pedestrian trips in most Indian cities. However, on pedestrian facilities such as footpaths, safe crossing facilities are not present in most Indian cities. Even when present, their poor maintenance and poor construction quality make them unusable. As a result, pedestrians are forced to share the road space with motorized vehicles and to cross the roads where there is no safe pedestrian crossing. This paper attempts to study pedestrian behavior—walking along the road and crossing the road—by detecting pedestrians with the use of a vehicle-mounted camera. The vehicle is driven on various categories of roads at different times. The data collected with this method are varied temporally as well as spatially. A smartphone–based GPS logging app was used to collect telemetry data, which were synced with the camera feed. The objective of this study was to understand pedestrian behavior—walking on the road versus a footpath in the presence of various road features, such as the number of lanes, presence of medians, and presence of footpaths. The influence of the presence of public transport stops, junctions, foot bridges, and grade-separated junctions (flyover) on pedestrian crossing behavior was studied.

scholarly journals An Assessment on the Locational Pattern of Petrol Filling Stations along Lasu-Isheri Road Corridor

2020 ◽  
Vol 6 (2) ◽  
pp. 6-29
Author(s):  
Esther O. Akinsulire ◽  
Samson O. Fadare
Keyword(s):  
Road Traffic ◽  
Traffic Volume ◽  
Primary Data ◽  
Positioning System ◽  
Z Score ◽  
Traffic Crashes ◽  
Road Traffic Crashes ◽  
The Road ◽  
Lagos State ◽  
On The Road

This study aimed at assessing the location and spatial distribution of petrol filling stations along LASU/Isheri Road, Ojo, Lagos state. The objectives are to map out all the petrol filling stations in along Lasu/Isheri road; to examine the volume of traffic along the road corridor; to determine the contribution of petrol filling stations to the traffic volume on the road, and to ascertain the road traffic challenges that are caused by the petrol filling stations (PFS). Geographical Positioning System (GPS) was employed to collect primary data; also, questionnaires and traffic count sheets were employed. The study found that the PFS along the road corridor is clustered with a Z-score of -7.34 and NNI of 0.440285. Also, the maximum peak hour volume was estimated to be 4198.6 pcu/hr. The PFS along the corridor are seen to contribute significantly to the traffic volume on the corridor. Finally, the dominant traffic challenges along the corridor include traffic gridlock which sometimes results into road traffic crashes which are triggered by the concentration of PFS in the study area, the proximity of PFS to a road intersection, overflow of the queue into the roadway, and to a minimal extent parking of tankers along the roadway and lack of setback. This study suggests strategies that can be adopted for locating PFS to ensure the free flow of traffic along the road corridor where they are located.

scholarly journals Spatial Econometric Analysis of Road Traffic Crashes

2021 ◽  
Vol 13 (5) ◽  
pp. 2492
Author(s):  
Tibor Sipos ◽  
Anteneh Afework Mekonnen ◽  
Zsombor Szabó
Keyword(s):  
Public Transportation ◽  
Urban Areas ◽  
Road Traffic ◽  
Cost Benefit Analysis ◽  
Road Accident ◽  
Spatial Econometric ◽  
Optimal Sequence ◽  
Road Traffic Crashes ◽  
The Road ◽  
On The Road

Keeping the basic principles of sustainable development, it must be highlighted that decisions about transport safety projects must be made following expert preparation, using reliable, professional methods. A prerequisite for the cost–benefit analysis of investments is to constantly monitor the efficiency of accident forecasting models and to update these continuously. This paper presents an accident forecasting model for urban areas, which handles both the properties of the public road infrastructure and spatial dependency relations. As the aim was to model the urban environment, we focused on the road public transportation modes (bus and trolley) and the vulnerable road users (bicyclist) using shared infrastructure elements. The road accident data from 2016 to 2018 on the whole road network of Budapest, Hungary, is analyzed, focusing on road links (i.e., road segments between junctions) by applying spatial econometric statistical models. As a result of this article, we have developed a model that can be used by decision-makers as well, which is suitable for estimating the expected value of accidents, and thus for the development of the optimal sequence of appropriate road safety interventions.

scholarly journals Neural Networks Applied to Microsimulation: A Prediction Model for Pedestrian Crossing Time

2020 ◽  
Vol 12 (13) ◽  
pp. 5355
Author(s):  
Chiara Gruden ◽  
Irena Ištoka Otković ◽  
Matjaž Šraml
Keyword(s):  
Neural Networks ◽  
Original Form ◽  
Model Parameters ◽  
Pedestrian Behavior ◽  
Calibration Process ◽  
The Road ◽  
Crossing Time ◽  
The Difference ◽  
On The Road ◽  
Pedestrian Crossing

Walking is the original form of transportation, and pedestrians have always made up a significant share of transportation system users. In contrast to motorized traffic, which has to move on precisely defined lanes and follow strict rules, pedestrian traffic is not heavily regulated. Moreover, pedestrians have specific characteristics—in terms of size and protection—which make them much more vulnerable than drivers. In addition, the difference in speed between pedestrians and motorized vehicles increases their vulnerability. All these characteristics, together with the large number of pedestrians on the road, lead to many safety problems that professionals have to deal with. One way to tackle them is to model pedestrian behavior using microsimulation tools. Of course, modeling also raises questions of reliability, and this is also the focus of this paper. The aim of the present research is to contribute to improving the reliability of microsimulation models for pedestrians by testing the possibility of applying neural networks in the model calibration process. Pedestrian behavior is culturally conditioned and the adaptation of the model to local specifics in the calibration process is a prerequisite for realistic modeling results. A neural network is formulated, trained and validated in order to link not-directly measurable model parameters to pedestrian crossing time, which is given as output by the microsimulation tool. The crossing time of pedestrians passing the road on a roundabout entry leg has been both simulated and calculated by the network, and the results were compared. A correlation of 94% was achieved after both training and validation steps. Finally, tests were performed to identify the main parameters that influence the estimated crossing time.

scholarly journals Ułomności statystyki motoryzacji w Polsce i ich konsekwencje dla badań geograficznych = Shortcomings of Poland’s motorisation statistics, and their implications for geographical research

2020 ◽  
Vol 92 (2) ◽  
pp. 227-245
Author(s):  
Bartłomiej Kołsut ◽  
Jędrzej Gadziński ◽  
Tadeusz Stryjakiewicz
Keyword(s):  
Spatial Distribution ◽  
European Commission ◽  
Rural Areas ◽  
Large Cities ◽  
Geographical Research ◽  
The Road ◽  
Eu Member States ◽  
Se Poland ◽  
On The Road ◽  
High Level

Reports from the European Commission (e.g. European Commission, 2018) show a relatively high level of motorisation in Poland (leaving the country ranked 6th among EU Member States). The number of cars per 1000 inhabitants is higher here than in any other of the formerly-communist countries acceding to the EU in or after 2004. Unfortunately, however, this situation inter alia reflects twisted statistics on motorisation that do not therefore offer a full or proper reflection of the real situation on the Polish car market. This article has devoted itself to the analysis of shortcomings characterising three groups of motorisation statistics relating to: 1. the cars known as “dead souls” (end-of-life vehicles) – whose numbers are overstated (by perhaps 6 million cars – or 26% of the entire total), given the retention on the register of those that have not been on the road for a long time, 2. “cars with a grille” – part of a Poland-specific phenomenon that results in understatement of numbers of cars and overstatement of numbers of goods vehicles (to the tune of perhaps 750,000), given people’s efforts to ensure that personal cars are approved for registration as commercial vehicles, 3. company cars, given overstatement (equal to perhaps 1.5 million) of numbers of vehicles in cities due to the presence of leasing companies and large enterprises operating company cars. The spatial distribution across the country of cars in the above–mentioned groups is very uneven and does much to influence spatial patterns relating to Poland’s motorisation rate (s). Overall, motorisation is much overestimated in large cities (e.g. Warsaw, Poznań, Katowice and Wrocław), while being underestimated in rural areas (especially in SE Poland). A crucial achievement of our analysis involves correction of official European statistics in this regard. The discrepancies characterising the statistics have the clear spatial distribution presented in Fig. 6. In its last section, this article then attempts to determine the consequences of such twisting of the motorisation statistics where both geographical research and decision-making are concerned.

A Groundwork Based Novel Routing Protocol for Vehicular Ad hoc Networks

2017 ◽  
Vol 7 (11) ◽  
pp. 121
Author(s):  
Amolkirat Singh ◽  
Guneet Saini
Keyword(s):  
Routing Protocol ◽  
Packet Loss ◽  
Secure Communication ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Road Traffic ◽  
Traditional Approach ◽  
Unexpected Events ◽  
The Road ◽  
On The Road

Many people lose their life and/or are injured due to accidents or unexpected events taking place on road networks. Besides traffic jams, these accidents generate a tremendous waste of time and fuel. Undoubtedly, if the vehicles are provided with timely and dynamic information related to road traffic conditions, any unexpected events or accidents, the safety and efficiency of the transportation system with respect to time, distance, fuel consumption and environmentally destructive emissions can be improved. In the field of computer and information science, Vehicular Ad hoc Network (VANET) have recently emerged as an effective tool for improving road safety through propagation of warning messages among the vehicles in the network about potential obstacles on the road ahead. VANET is a research area which is in more demand among the researchers, the automobile industries and scientists to discover about the loopholes and advantages of the vehicular networks so that efficient routing algorithms can be developed which can provide reliable and secure communication among the mobile nodes.In this paper, we propose a Groundwork Based Ad hoc On Demand Distance Vector Routing Protocol (GAODV) focus on how the Road Side Units (RSU’s) utilized in the architecture plays an important role for making the communication reliable. In the interval of finding the suitable path from source to destination the packet loss may occur and the delay also is counted if the required packet does not reach the specified destination on time. So to overcome delay, packet loss and to increase throughput GAODV approach is followed. The performance parameters in the GAODV comes out to be much better than computed in the traditional approach.

Analysis of Vehicle–Pedestrian Interactive Behaviors near Unsignalized Crosswalk

2021 ◽  
pp. 036119812199906
Author(s):  
Byeongjoon Noh ◽  
Dongho Ka ◽  
David Lee ◽  
Hwasoo Yeo
Keyword(s):  
South Korea ◽  
Traffic Accidents ◽  
Road Traffic ◽  
The Road ◽  
Video Footage ◽  
Premature Deaths ◽  
Vehicle Velocity ◽  
Behavioral Features ◽  
Velocity Changes ◽  
On The Road

Road traffic accidents are a leading cause of premature deaths and globally pose a severe threat to human lives. In particular, pedestrians crossing the road present a major cause of vehicle–pedestrian accidents in South Korea, but we lack dense behavioral data to understand the risk they face. This paper proposes a new analytical system for potential pedestrian risk scenes based on video footage obtained by road security cameras already deployed at unsignalized crosswalks. The system can automatically extract the behavioral features of vehicles and pedestrians, affecting the likelihood of potentially dangerous situations after detecting them in individual objects. With these features, we can analyze the movement patterns of vehicles and pedestrians at individual sites, and understand where potential traffic risk scenes occur frequently. Experiments were conducted on four selected behavioral features: vehicle velocity, pedestrian position, vehicle–pedestrian distance, and vehicle–crosswalk distance. Then, to show how they can be useful for monitoring the traffic behaviors on the road, the features are visualized and interpreted to show how they may or may not contribute to potential pedestrian risks at these crosswalks: (i) by analyzing vehicle velocity changes near the crosswalk when there are no pedestrians present; and (ii) analyzing vehicle velocities by vehicle–pedestrian distances when pedestrians are on the crosswalk. The feasibility of the proposed system is validated by applying the system to multiple unsignalized crosswalks in Osan city, South Korea.

scholarly journals Extracting Road Traffic Volume in the City before and during covid-19 through Video Remote Sensing

2021 ◽  
Vol 13 (12) ◽  
pp. 2329
Author(s):  
Elżbieta Macioszek ◽  
Agata Kurek
Keyword(s):  
Travel Behavior ◽  
Traffic Management ◽  
Road Traffic ◽  
Traffic Volume ◽  
The Road ◽  
Traffic Characteristics ◽  
Annual Average Daily Traffic ◽  
On The Road ◽  
The Impact ◽  
The City

Continuous, automatic measurements of road traffic volume allow the obtaining of information on daily, weekly or seasonal fluctuations in road traffic volume. They are the basis for calculating the annual average daily traffic volume, obtaining information about the relevant traffic volume, or calculating indicators for converting traffic volume from short-term measurements to average daily traffic volume. The covid-19 pandemic has contributed to extensive social and economic anomalies worldwide. In addition to the health consequences, the impact on travel behavior on the transport network was also sudden, extensive, and unpredictable. Changes in the transport behavior resulted in different values of traffic volume on the road and street network than before. The article presents road traffic volume analysis in the city before and during the restrictions related to covid-19. Selected traffic characteristics were compared for 2019 and 2020. This analysis made it possible to characterize the daily, weekly and annual variability of traffic volume in 2019 and 2020. Moreover, the article attempts to estimate daily traffic patterns at particular stages of the pandemic. These types of patterns were also constructed for the weeks in 2019 corresponding to these stages of the pandemic. Daily traffic volume distributions in 2020 were compared with the corresponding ones in 2019. The obtained results may be useful in terms of planning operational and strategic activities in the field of traffic management in the city and management in subsequent stages of a pandemic or subsequent pandemics.

Mitigation of road traffic crash hazard in Pakistan

2014 ◽  
Vol 23 (5) ◽  
pp. 567-585
Author(s):  
Muhammad Masood Rafi ◽  
Ashar Hashmat Lodi ◽  
Muhammad Arsalan Effendi
Keyword(s):  
Road Traffic ◽  
Evaluation Model ◽  
Road Traffic Crash ◽  
Potential Hazard ◽  
Suggested Model ◽  
Male Population ◽  
Content Type ◽  
The Road ◽  
On The Road ◽  
The City

Purpose – Road traffic crashes (RTCs) result in creating significant social and economic hazard for affectees, their families and society. The purpose of this paper is to present studies which were conducted to study the patterns of RTCs in Karachi which is a metropolitan city of Pakistan. The studies were conducted on one of the busiest roads in the city named as Shara-e-Faisal. The influence and contribution of different factors in RTCs has been studied and hazardous road sections of Shara-e-Faisal have been identified. Based on the data analysis, an evaluation model has been suggested to reduce the hazard of RTCs on Shara-e-Faisal. The objective of the presented studies is to increase the present level of safety of road travel by reducing crashes on Shara-e-Faisal. Design/methodology/approach – Existing data of RTCs in Karachi have been analysed for the presented studies. For this purpose, Shara-e-Faisal was divided in sections of 1 km length to study the vehicle crash pattern. Location surveys were conducted to record physical conditions of this road. A cluster analysis was carried out to identify hazardous sections of the road. An evaluation model has been suggested in the end to reduce the hazard of RTCs by identifying hazardous road sections of Shara-e-Faisal. Findings – The analysis of the data revealed that the crashes were higher over weekend and on Monday. Male population, particularly young people, and motorcycle riders were the largest affectees of RTCs. In general, more daytime crashes were recorded as compared to nighttime crashes. The crashes in the mid block of the road and those involving rear-end collisions were higher. The hazardous road locations were related to poor road conditions. Statistical analysis indicated that alternate routes were required to reduce the RTC hazard on Shara-e-Faisal. Research limitations/implications – The paper is a small, but an original, contribution to identify a potential hazard which is faced by the community in the city. This is the first attempt (to the best of authors’ knowledge) to address the issue of RTCs in Karachi from an engineering view point. Practical implications – The suggested model can be employed by the authorities as a guideline to mitigate the hazard of road crashes in the country. Originality/value – The paper provides valuable information on the road traffic incidents, their pattern and contributing factors in one of the largest metropolis of Pakistan. The suggested model can become helpful in reducing RTCs in Pakistan.

scholarly journals The system of removing slush in passenger cars - a concept

2018 ◽  
Vol 19 (12) ◽  
pp. 217-220
Author(s):  
Michał Rubach ◽  
Konrad Waluś
Keyword(s):  
Atmospheric Pressure ◽  
Road Safety ◽  
Road Traffic ◽  
Dew Point ◽  
Passenger Cars ◽  
Dew Point Temperature ◽  
The Road ◽  
On The Road ◽  
Vehicle Movement ◽  
Temperature Surface

The appearance of slush on the road is determined by the intensity of precipitation, ambient temperature, surface and dew point temperature, atmospheric pressure and road traffic. The condition of slush (mixture of snow, ice, sand and chemicals such as salt) significantly affects the scope of road safety and the acceleration achieved in the driving processes. The agglomeration of slush in the space between the wheel and the wheel arches increases the resistance of the vehicle movement and increases the load on the suspension system and the steering. Excess snow and ice increases the risk of damage to these systems and may affect the steering and stability of the vehicle. The process of "deposition" of slush is particularly noticeable in environmental conditions with high humidity, and ambient and surface temperatures are below zero degrees Celsius. The article presents the idea of a system for removing slush from wheelhouse liners.

scholarly journals PENGARUH KEMACETAN DI SIMPANG SABILILLAH TERHADAP IMPLEMENTASI CITRA LALU LINTAS DI SIMPANG PROGRESIF

2015 ◽  
Vol 9 (2) ◽  
pp. 114
Author(s):  
Supiyono, Dwi Ratnaningsih, Rudy Ariyanto
Keyword(s):  
Road Traffic ◽  
Flame Length ◽  
Traffic Volume ◽  
Signalized Intersections ◽  
Degree Of Saturation ◽  
The Road ◽  
Road Section ◽  
On The Road ◽  
High Traffic Volume

Progress of a country in line with the progress of traffic (transport). Fluency in traffic is determined by the smoothness of traffic on the road. Problems often arise on the highway is congestion at the intersection. Neither was signalized intersections and signalized intersections. Problems at the intersection is less accuracy green flame at the intersection with the number of vehicles in a segment. A road with high traffic volume vehicle green flame low while other road traffic volume small green flame length. So in a long queue roads, while other roads are deserted while still green flame.     This study aims to minimize the occurrence of conflic at the intersection of green flame. Research will make iterations in the intersection, where a road section which will be nominated densely green flame, the flame of the green according to the volume of traffic on these roads. Each road will be a green flame in accordance with the volume of traffic, without having to change any program there is a change in traffic volume.The degree of saturation of the calculation obtained by ....Keywords: roads, hight traffic, progressive intersection, degree saturation

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